{"id":7980,"date":"2020-06-12T09:30:48","date_gmt":"2020-06-12T06:30:48","guid":{"rendered":"https:\/\/ssrlab.by\/?p=7980"},"modified":"2020-12-15T12:50:41","modified_gmt":"2020-12-15T09:50:41","slug":"vyznachenne-galasavoj-akty%d1%9enasczi-2","status":"publish","type":"post","link":"https:\/\/ssrlab.by\/en\/7980","title":{"rendered":"Voice Activity Detector"},"content":{"rendered":"<p>Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8154\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-1-1.png\" alt=\"\" width=\"1061\" height=\"351\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-1-1.png 1061w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-1-1-300x99.png 300w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-1-1-1024x339.png 1024w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-1-1-768x254.png 768w\" sizes=\"(max-width: 1061px) 100vw, 1061px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 1 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u00ab\u0420\u0430\u0441\u043f\u0430\u0437\u043d\u0430\u0432\u0430\u043d\u043d\u0435 \u0433\u0430\u043b\u0430\u0441\u0430\u0432\u043e\u0439 \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456\u00bb: \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0443\u0432\u043e\u0434\u0443 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445 (\u0437\u043b\u0435\u0432\u0430) \u0456 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e (\u0441\u043f\u0440\u0430\u0432\u0430)<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0443\u0432\u043e\u0434\u0443 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445, \u0443 \u0441\u0432\u0430\u044e \u0447\u0430\u0440\u0433\u0443, \u0440\u0430\u0437\u0434\u0437\u0435\u043b\u0435\u043d\u0430 \u043d\u0430 4 \u0456\u043d\u0448\u044b\u044f \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456: \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb, \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb, \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb, \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb<\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 2.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-2-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8153\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-2-1.png\" alt=\"\" width=\"574\" height=\"311\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-2-1.png 574w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-2-1-300x163.png 300w\" sizes=\"(max-width: 574px) 100vw, 574px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 2 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u043f\u0440\u044b\u043a\u043b\u0430\u0434\u0443 (\u043a\u043e\u0436\u043d\u044b \u043f\u0440\u044b\u043a\u043b\u0430\u0434 \u0434\u0430\u0441\u0442\u0443\u043f\u043d\u044b \u0434\u043b\u044f \u0441\u043f\u0430\u043c\u043f\u043e\u045e\u0432\u0430\u043d\u043d\u044f);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0410\u045e\u0434\u044b\u044f\u043f\u043b\u044d\u0435\u0440 \u0434\u043b\u044f \u043f\u0440\u0430\u0439\u0433\u0440\u0430\u0432\u0430\u043d\u043d\u044f \u0432\u044b\u0431\u0440\u0430\u043d\u0430\u0433\u0430 \u0444\u0430\u0439\u043b\u0430;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0417\u0430\u043f\u0443\u0441\u0446\u0456\u0446\u044c\u00bb, \u044f\u043a\u0430\u044f \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0443\u0435 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0443;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0442\u044b\u043f\u0443 \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e \u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0456 \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0444\u0430\u0440\u043c\u0430\u0442\u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0456 \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb<\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 3.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-3-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8152\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-3-1.png\" alt=\"\" width=\"574\" height=\"306\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-3-1.png 574w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-3-1-300x160.png 300w\" sizes=\"(max-width: 574px) 100vw, 574px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 3 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb, \u044f\u043a\u0430\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435 \u0437\u0430\u043f\u0456\u0441 \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b\u0430 \u0437 \u043c\u0456\u043a\u0440\u0430\u0444\u043e\u043d\u0430 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u0430 (\u043f\u0430\u0441\u043b\u044f \u043d\u0430\u0446\u0456\u0441\u043a\u0430\u043d\u043d\u044f \u043f\u0435\u0440\u0430\u0442\u0432\u0430\u0440\u0430\u0435\u0446\u0446\u0430 \u045e \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0421\u043f\u044b\u043d\u0456\u0446\u044c\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u043b\u044d\u0435\u0440 \u0434\u043b\u044f \u043f\u0440\u0430\u0439\u0433\u0440\u0430\u0432\u0430\u043d\u043d\u044f \u0437\u0430\u043f\u0456\u0441\u0430\u043d\u0430\u0433\u0430 \u0430\u045e\u0434\u044b\u044f;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0417\u0430\u043f\u0443\u0441\u0446\u0456\u0446\u044c\u00bb, \u044f\u043a\u0430\u044f \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0443\u0435 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0443;<\/span><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0442\u044b\u043f\u0443 \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e \u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0456 \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0444\u0430\u0440\u043c\u0430\u0442\u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0456 \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb<\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 4.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-4-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8151\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-4-1.png\" alt=\"\" width=\"577\" height=\"235\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-4-1.png 577w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-4-1-300x122.png 300w\" sizes=\"(max-width: 577px) 100vw, 577px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 4 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0412\u044b\u0431\u0440\u0430\u0446\u044c\u2026\u00bb, \u044f\u043a\u0430\u044f \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0443\u0435 \u0430\u0434\u043a\u0440\u044b\u0446\u0446\u0451 \u0430\u043a\u043d\u0430 \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0444\u0430\u0439\u043b\u0430 \u043d\u0430 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u044b \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0420\u0430\u0434\u043e\u043a \u0441\u0442\u0430\u043d\u0443, \u044f\u043a\u0456 \u0430\u0434\u043b\u044e\u0441\u0442\u0440\u043e\u045e\u0432\u0430\u0435 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f, \u044f\u043a\u0456\u044f \u0434\u0430\u0442\u044b\u0447\u0430\u0446\u0446\u0430 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0456 \u0444\u0430\u0439\u043b\u0430;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c\u00bb \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0456 \u0444\u0430\u0439\u043b\u0430 \u0437 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u0430 \u0456 \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0430\u0446\u044b\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456;<\/span><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0442\u044b\u043f\u0443 \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e \u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0456 \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u043f\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u043c\u0435\u043d\u044e \u0434\u043b\u044f \u0432\u044b\u0431\u0430\u0440\u0443 \u0444\u0430\u0440\u043c\u0430\u0442\u0443 \u0432\u044b\u043d\u0456\u043a\u043e\u0432\u0430\u0439 \u0432\u044b\u0434\u0430\u0447\u044b (\u043c\u0430\u0435 \u043f\u0443\u043d\u043a\u0442\u044b \u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0456 \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb<\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb \u043f\u0440\u044b\u0437\u043d\u0430\u0447\u0430\u043d\u0430 \u0434\u043b\u044f \u043d\u0430\u0433\u043b\u044f\u0434\u043d\u0430\u0433\u0430 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u043d\u044f \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0443 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445 \u043f\u0440\u0430 \u044f\u043a\u0430\u0441\u0446\u044c \u043f\u0440\u0430\u0446\u044b \u0430\u043b\u0433\u0430\u0440\u044b\u0442\u043c\u0443. \u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 5.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-5-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8150\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-5-1.png\" alt=\"\" width=\"580\" height=\"297\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-5-1.png 580w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-5-1-300x154.png 300w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 5 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043b\u0456\u043d\u0435\u0439\u043d\u0443\u044e \u0434\u044b\u044f\u0433\u0440\u0430\u043c\u0443, \u044f\u043a\u0430\u044f \u0430\u0434\u043b\u044e\u0441\u0442\u0440\u043e\u045e\u0432\u0430\u0435 \u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0456 <\/span><span lang=\"en-US\">F<\/span><span lang=\"be-BY\">-\u043c\u0435\u0440 \u0434\u043b\u044f \u0456\u043b\u044e\u0441\u0442\u0440\u0430\u0446\u044b\u0456 \u044f\u043a\u0430\u0441\u0446\u0456 \u0430\u043d\u0430\u043b\u0456\u0437\u0443:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0441\u0456\u043d\u0442\u044d\u0437\u0430\u0432\u0430\u043d\u0430\u0433\u0430 \u043c\u0430\u045e\u043b\u0435\u043d\u043d\u044f;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0441\u0442\u0443\u0434\u044b\u0439\u043d\u0430\u0433\u0430 \u0437\u0430\u043f\u0456\u0441\u0443;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0441\u0442\u0443\u0434\u044b\u0439\u043d\u0430\u0433\u0430 \u0437\u0430\u043f\u0456\u0441\u0443 \u0437 \u0431\u0435\u043b\u044b\u043c \u0448\u0443\u043c\u0430\u043c;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430 \u0444\u0456\u043b\u044c\u043c\u0430.<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">(\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0456 \u043f\u0435\u0440\u0430\u043b\u0456\u0447\u0430\u043d\u044b\u044f \u045e \u043f\u0430\u0440\u0430\u0434\u043a\u0443 \u0456\u0445 \u0430\u0434\u043b\u044e\u0441\u0442\u0440\u0430\u0432\u0430\u043d\u043d\u044f \u0437\u0432\u0435\u0440\u0445\u0443 \u045e\u043d\u0456\u0437)<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u0430\u0431 \u0430\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u043c\u0430\u043a\u0441\u0456\u043c\u0430\u043b\u044c\u043d\u0430 \u0434\u0430\u043a\u043b\u0430\u0434\u043d\u044b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f, \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430 \u043d\u0430\u0432\u0435\u0441\u0446\u0456 \u043a\u0443\u0440\u0441\u043e\u0440 \u043c\u044b\u0448\u044b \u043d\u0430 \u043f\u0430\u0442\u0440\u044d\u0431\u043d\u0443\u044e \u043b\u0456\u043d\u0456\u044e \u0434\u044b\u044f\u0433\u0440\u0430\u043c\u044b.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e<\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 6.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-6-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8149\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-6-1.png\" alt=\"\" width=\"475\" height=\"350\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-6-1.png 475w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-6-1-300x221.png 300w\" sizes=\"(max-width: 475px) 100vw, 475px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 6 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u043e\u043b\u0435 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e, \u044f\u043a\u043e\u0435 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u0432\u044b\u043d\u0456\u043a\u0456 \u043f\u0430\u043f\u044f\u0440\u044d\u0434\u043d\u044f\u0439 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0421\u043f\u0430\u043c\u043f\u0430\u0432\u0430\u0446\u044c\u00bb, \u044f\u043a\u0430\u044f \u0437\u2019\u044f\u045e\u043b\u044f\u0435\u0446\u0446\u0430 \u043f\u0430\u0441\u043b\u044f \u0432\u044b\u043a\u0430\u043d\u0430\u043d\u043d\u044f \u0445\u0430\u0446\u044f \u0431 \u0430\u0434\u043d\u043e\u0439 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456. \u0406\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0443\u0435 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0443 <\/span><span lang=\"en-US\">SRT-<\/span>\u0444\u0430\u0439\u043b\u0430<span lang=\"be-BY\"> \u043d\u0430 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430.<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><b>\u041a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u0446\u043a\u0456\u044f \u0441\u0446\u044d\u043d\u0430\u0440\u044b \u043f\u0440\u0430\u0446\u044b \u0437 \u0441\u044d\u0440\u0432\u0456\u0441\u0430\u043c<\/b><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0421\u0446\u044d\u043d\u0430\u0440 1. \u0410\u043d\u0430\u043b\u0456\u0437 \u043f\u0440\u044b\u043a\u043b\u0430\u0434\u0430\u045e.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0435\u0440\u0430\u0439\u0441\u0446\u0456 \u043d\u0430 \u045e\u043a\u043b\u0430\u0434\u043a\u0443 \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u043f\u0430\u0442\u0440\u044d\u0431\u043d\u044b \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b (\u043f\u0440\u044b\u043a\u043b\u0430\u0434) \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 \u0441\u043f\u0435\u0446\u044b\u044f\u043b\u044c\u043d\u0430\u0433\u0430 \u043c\u0435\u043d\u044e.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0440\u044b \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u0456 \u2013 \u043f\u0440\u0430\u0441\u043b\u0443\u0445\u0430\u0446\u044c \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 \u043f\u043b\u044d\u0435\u0440\u0430 \u0456\/\u0430\u0431\u043e \u0441\u043f\u0430\u043c\u043f\u0430\u0432\u0430\u0446\u044c \u0430\u045e\u0434\u044b\u044f\u0437\u0430\u043f\u0456\u0441.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0442\u044b\u043f \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e, \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f \u043f\u0440\u0430 \u044f\u043a\u0456\u044f \u0431\u0443\u0434\u0443\u0446\u044c \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b\u044f \u045e \u0432\u044b\u043d\u0456\u043a\u0430\u0445 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0430\u0431\u043e \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0444\u0430\u0440\u043c\u0430\u0442 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u043d\u044f \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0430\u0431\u043e \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0417\u0430\u043f\u0443\u0441\u0446\u0456\u0446\u044c\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0410\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u0432\u044b\u043d\u0456\u043a\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u045e \u043f\u043e\u043b\u0456 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0440\u044b \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u0456 \u2013 \u043d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0421\u043f\u0430\u043c\u043f\u0430\u0432\u0430\u0446\u044c\u00bb \u0434\u043b\u044f \u0441\u043f\u0430\u043c\u043f\u043e\u045e\u0432\u0430\u043d\u043d\u044f <\/span><span lang=\"en-US\">SRT<\/span><span lang=\"be-BY\">-\u0444\u0430\u0439\u043b\u0430 \u0437 \u0432\u044b\u043d\u0456\u043a\u0430\u043c\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456.<\/span><\/span><\/li>\n<\/ol>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0421\u0446\u044d\u043d\u0430\u0440 2. \u0410\u043d\u0430\u043b\u0456\u0437 \u0430\u045e\u0434\u044b\u044f\u0437\u0430\u043f\u0456\u0441\u0443, \u0441\u0442\u0432\u043e\u0440\u0430\u043d\u0430\u0433\u0430 \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 \u043c\u0456\u043a\u0440\u0430\u0444\u043e\u043d\u0430 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0435\u0440\u0430\u0439\u0441\u0446\u0456 \u043d\u0430 \u045e\u043a\u043b\u0430\u0434\u043a\u0443 \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb \u0434\u043b\u044f \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0430\u0446\u044b\u0456 \u0437\u0430\u043f\u0456\u0441\u0443, \u0437\u0434\u0437\u0435\u0439\u0441\u043d\u0456\u0446\u044c \u0437\u0430\u043f\u0456\u0441, \u043d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0421\u043f\u044b\u043d\u0456\u0446\u044c\u00bb \u0434\u043b\u044f \u0441\u043f\u044b\u043d\u0435\u043d\u043d\u044f \u0437\u0430\u043f\u0456\u0441\u0443.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0440\u044b \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u0456 \u2013 \u043f\u0440\u0430\u0441\u043b\u0443\u0445\u0430\u0446\u044c \u0437\u0430\u043f\u0456\u0441\u0430\u043d\u044b \u0444\u0430\u0439\u043b \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 \u043f\u043b\u044d\u0435\u0440\u0430.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0442\u044b\u043f \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e, \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f \u043f\u0440\u0430 \u044f\u043a\u0456\u044f \u0431\u0443\u0434\u0443\u0446\u044c \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b\u044f \u045e \u0432\u044b\u043d\u0456\u043a\u0430\u0445 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0430\u0431\u043e \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0444\u0430\u0440\u043c\u0430\u0442 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u043d\u044f \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0430\u0431\u043e \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0417\u0430\u043f\u0443\u0441\u0446\u0456\u0446\u044c\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0410\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u0432\u044b\u043d\u0456\u043a\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u045e \u043f\u043e\u043b\u0456 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0440\u044b \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u0456 \u2013 \u043d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0421\u043f\u0430\u043c\u043f\u0430\u0432\u0430\u0446\u044c\u00bb \u0434\u043b\u044f \u0441\u043f\u0430\u043c\u043f\u043e\u045e\u0432\u0430\u043d\u043d\u044f <\/span><span lang=\"en-US\">SRT<\/span><span lang=\"be-BY\">-\u0444\u0430\u0439\u043b\u0430 \u0437 \u0432\u044b\u043d\u0456\u043a\u0430\u043c\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456.<\/span><\/span><\/li>\n<\/ol>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0421\u0446\u044d\u043d\u0430\u0440 3. \u0410\u043d\u0430\u043b\u0456\u0437 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u0446\u043a\u0430\u0433\u0430 \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b\u0430.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0435\u0440\u0430\u0439\u0441\u0446\u0456 \u043d\u0430 \u045e\u043a\u043b\u0430\u0434\u043a\u0443 \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0412\u044b\u0431\u0440\u0430\u0446\u044c\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0423 \u0434\u044b\u044f\u043b\u043e\u0433\u0430\u0432\u044b\u043c \u0430\u043a\u043d\u0435, \u044f\u043a\u043e\u0435 \u0430\u0434\u043a\u0440\u044b\u043b\u0430\u0441\u044f, \u0432\u044b\u0431\u0440\u0430\u0446\u044c \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b \u0443 \u0444\u0430\u0440\u043c\u0430\u0446\u0435 <\/span><span lang=\"en-US\">WAV<\/span><span lang=\"be-BY\"> \u043d\u0430 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u044b. \u0406\u043d\u0444\u0430\u0440\u043c\u0430\u0446\u044b\u044f \u043f\u0440\u0430 \u0444\u0430\u0439\u043b \u0431\u0443\u0434\u0437\u0435 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u0430 \u045e \u0440\u0430\u0434\u043a\u0443 \u0441\u0442\u0430\u043d\u0443.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0442\u044b\u043f \u0444\u0440\u0430\u0433\u043c\u0435\u043d\u0442\u0430\u045e, \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f \u043f\u0440\u0430 \u044f\u043a\u0456\u044f \u0431\u0443\u0434\u0443\u0446\u044c \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b\u044f \u045e \u0432\u044b\u043d\u0456\u043a\u0430\u0445 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u041f\u0430\u045e\u0437\u044b\u00bb \u0430\u0431\u043e \u00ab\u0413\u0430\u043b\u0430\u0441\u0430\u0432\u0430\u044f \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u0444\u0430\u0440\u043c\u0430\u0442 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u043d\u044f \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 (\u00ab\u0421\u0443\u0431\u0442\u044b\u0442\u0440\u044b\u00bb \u0430\u0431\u043e \u00ab\u041c\u0435\u0442\u043a\u0456 \u0434\u043b\u044f <\/span><span lang=\"en-US\">Audacity<\/span><span lang=\"be-BY\">\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c\u00bb \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0456 \u0430\u045e\u0434\u044b\u044f\u0444\u0430\u0439\u043b\u0430 \u0456 \u0456\u043d\u0456\u0446\u044b\u044f\u043b\u0456\u0437\u0430\u0446\u044b\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0410\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u0432\u044b\u043d\u0456\u043a\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u045e \u043f\u043e\u043b\u0456 \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0440\u044b \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u0456 \u2013 \u043d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0421\u043f\u0430\u043c\u043f\u0430\u0432\u0430\u0446\u044c\u00bb \u0434\u043b\u044f \u0441\u043f\u0430\u043c\u043f\u043e\u045e\u0432\u0430\u043d\u043d\u044f <\/span><span lang=\"en-US\">SRT<\/span><span lang=\"be-BY\">-\u0444\u0430\u0439\u043b\u0430 \u0437 \u0432\u044b\u043d\u0456\u043a\u0430\u043c\u0456 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456.<\/span><\/span><\/li>\n<\/ol>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u0433\u0447\u044b\u043c\u044b \u0432\u044b\u043d\u0456\u043a \u043f\u0440\u0430\u0446\u044b \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u0437\u0433\u043e\u0434\u043d\u0430 \u0441\u0430 \u0441\u0446\u044d\u043d\u0430\u0440\u0430\u043c\u0456 1\u20133 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 7.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-7-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8148\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-7-1.png\" alt=\"\" width=\"471\" height=\"348\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-7-1.png 471w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/vyznachenne-galasavoj-akty\u045enasczi-7-1-300x222.png 300w\" sizes=\"(max-width: 471px) 100vw, 471px\" \/><\/a><\/span><\/p>\n<p align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 7 \u2013 \u0412\u044b\u043d\u0456\u043a \u043f\u0440\u0430\u0446\u044b \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u00ab\u0412\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0435 \u0433\u0430\u043b\u0430\u0441\u0430\u0432\u043e\u0439 \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456\u00bb<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><u>\u0421\u0446\u044d\u043d\u0430\u0440 4. \u0410\u0442\u0440\u044b\u043c\u0430\u043d\u043d\u0435 \u0456\u043d\u0444\u0430\u0440\u043c\u0430\u0446\u044b\u0456 \u043f\u0440\u0430 \u044f\u043a\u0430\u0441\u0446\u044c \u043f\u0440\u0430\u0446\u044b \u0441\u044d\u0440\u0432\u0456\u0441\u0430.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u041f\u0435\u0440\u0430\u0439\u0441\u0446\u0456 \u043d\u0430 \u045e\u043a\u043b\u0430\u0434\u043a\u0443 \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0412\u0430 \u045e\u043a\u043b\u0430\u0434\u0446\u044b, \u044f\u043a\u0430\u044f \u0430\u0434\u043a\u0440\u044b\u043b\u0430\u0441\u044f, \u043d\u0430\u0432\u0435\u0441\u0446\u0456 \u043a\u0443\u0440\u0441\u043e\u0440 \u043c\u044b\u0448\u044b \u043d\u0430 \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0443\u044e \u043b\u0456\u043d\u0456\u044e \u0434\u044b\u044f\u0433\u0440\u0430\u043c\u044b \u0456 \u043f\u0440\u0430\u0433\u043b\u044f\u0434\u0437\u0435\u0446\u044c \u0432\u044b\u043d\u0456\u043a\u0456 \u0442\u044d\u0441\u0442\u0430\u0432\u0430\u043d\u043d\u044f.<\/span><\/span><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><b>\u0414\u043e\u0441\u0442\u0443\u043f \u0434\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u043f\u0440\u0430\u0437 <\/b><\/span><span lang=\"en-US\"><b>API<\/b><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0414\u043b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u0430\u0433\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u0434\u043e\u0441\u0442\u0443\u043f \u043f\u0440\u0430\u0437 <\/span><span lang=\"en-US\">API<\/span> <span lang=\"be-BY\">\u043d\u0435 \u043f\u0440\u0430\u0434\u0443\u0433\u043b\u0435\u0434\u0436\u0430\u043d\u044b.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\"><b>\u0421\u043f\u0430\u0441\u044b\u043b\u043a\u0456 \u043d\u0430 \u043a\u0440\u044b\u043d\u0456\u0446\u044b<\/b><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0421\u0442\u0430\u0440\u043e\u043d\u043a\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430<\/span> \u2013 <span style=\"color: #0563c1;\"><u><a href=\"https:\/\/corpus.by\/VoiceActivityDetector\/?lang=ru\">https:\/\/corpus.by\/VoiceActivityDetector\/?lang=ru<\/a><\/u><\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Moattar, M.H. A simple but efficient real-time voice activity detection algorithm \/ M.H. Moattar, M.M. Homayounpour [Electronic resource] \/\/ 17<\/span><sup><span lang=\"en-US\">th<\/span><\/sup><span lang=\"en-US\"> European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, August 24-28, 2009. \u2013 Mode of access: <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/www.eurasip.org\/Proceedings\/Eusipco\/Eusipco2009\/contents\/papers\/1569192958.pdf\"><span lang=\"en-US\">https:\/\/www.eurasip.org\/Proceedings\/Eusipco\/Eusipco2009\/contents\/papers\/1569192958.pdf<\/span><\/a><\/u><\/span><span lang=\"en-US\">. \u2013 Date of access: 01.06.2020.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\">\u0411<span lang=\"be-BY\">\u0456\u0431\u043b\u0456\u044f\u0442\u044d\u043a\u0430 <\/span><span lang=\"en-US\">NumPy \u2013 <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/numpy.org\/\"><span lang=\"en-US\">https:\/\/numpy.org\/<\/span><\/a><\/u><\/span><span lang=\"en-US\">.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">\u0411\u0456\u0431\u043b\u0456\u044f\u0442\u044d\u043a\u0430 <\/span><span lang=\"en-US\">SciPy \u2013 <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/www.scipy.org\/\"><span lang=\"en-US\">https:\/\/www.scipy.org\/<\/span><\/a><\/u><\/span><span lang=\"en-US\">.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The <a href=\"https:\/\/corpus.by\/VoiceActivityDetector\/?lang=en\"><strong>\u00abVoice Activity Detector\u00bb<\/strong><\/a> service allows user to receive a detailed analysis of the audio recording spectrogram to identify periods of voice activity and the intervals between them. It is possible to obtain results (a list of periods of voice activity or pauses with an indication of time with an accuracy of 10 milliseconds) in the form of subtitles or tags for the Audacity program. Using a special button, the user can pack the processing results into an SRT file and download it. The service works only with audio recordings in WAV format. The voice activity recognition algorithm used by the service is implemented in Python with the active use of the freely distributed libraries NumPy and SciPy capabilities. In its initial form, the algorithm is fast, accurate, reliable, and undemanding to system resources, but at the same time it is noise-resistant (the last property practically does not depend on the nature of the noise), what has been demonstrated by special comparative examinations (see the section \u00abSource references\u00bb). An improvement of the algorithm made by the Speech Synthesis and Recognition Laboratory is the preliminary removal of noises.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Basic terms and concepts<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>Voice activity detection (VAD)<\/em> \u2013 revealing of voice activity in the input acoustic signal to separate active speech from background noise or silence. <\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>Noise<\/em> \u2013 a combination of non-periodic sounds of various intensities and frequencies, random fluctuations of various physical nature, characterized by the complexity of the temporal and spectral structure.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>NumPy<\/em> \u2013 the open source library for the Python programming language. The capabilities of this library include support for multidimensional arrays (including matrices), as well as various high-level mathematical functions designed to work with such arrays.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>SciPy<\/em> \u2013 the open source library for the Python programming language, designed to perform scientific and engineering calculations. The most popular features of this library in the \u00abVoice Activity Detector\u00bb service are the functions designed for signal processing.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>WAV-format (Waveform Audio File Format)<\/em> \u2013 a format of container file for storing recordings of digitized audio stream, a subset of RIFF (Resource Interchange File Format). This format is traditionally associated with the Windows operating system (although it is also common in the Linux OS family) and is most often used to preserve the original appearance of high-quality audio files.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><em>SRT file<\/em> \u2013 a text file containing subtitles that are used by various audio and video playback programs. The text information that is stored in the .srt file can be modified by any text editor.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Practical value<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Voice activity detection (VAD) is a critical problem in many audio stream analysis systems, including speech coding, speech recognition, speech optimization, and audio indexing systems. A well-developed VAD algorithm significantly improves the quality of such systems in terms of accuracy and processing speed (including processing voice messages in noisy environments).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">VAD allows to save resources during data transmission by the communication channel, because the interruption in speech is not digitized and not encoded, and thus \u00abempty\u00bb packets with silence are not transmitted over the network. This is very important for packet transmission (which, for example, is transmission in TCP\/IP networks), because, in addition to the data itself, each protocol of all levels of the OSI model (transport, network, etc.) appends its own service information to each packet with data; as a result of this, the packet size grows significantly. Skipping of \u00abempty\u00bb packets with small noises is an easy way to save traffic and, as a result, increase the channel capacity. For this reason, the VAD mechanism is often used, along with various effective compression codecs, in IP-telephony.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">A special case of using the results of audio recordings processing packaged by the service in the SRT format can be facilitating of the work of creating subtitles for audio and video files.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">It is also important that most of the current VAD algorithms show good results when working with a \u00abclean\u00bb audio stream, but in the case of noisiness, they lose their effectiveness. The algorithm on which the service is based is characterized by high noise resistance. This algorithm is presented by M.H. Moattar and M.M. Homayounpour in the work \u00abA simple but efficient real-time voice activity detection algorithm\u00bb (17th European Signal Processing Conference, 2009) and it is a step forward in compare with existing solutions. Active use of the service will make it possible to popularize this algorithm, as well as collect factual data for its further improvement (in particular, refinement of input constants).<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Service features<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The algorithm described in the above work of M.H. Moattar and M.M. Homayounpour, implemented in the service using the tools of the Python language, but it is not presented only in its \u00abpristine\u00bb form. An employee of the Laboratory for Speech Synthesis and Recognition Kalabuk D.S. made additions to the algorithm \u2013 in particular, preliminary noise removal was added, and some mathematical improvements were introduced to ensure faster and more accurate operation.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">For the same purposes, as well as for practical software implementation, we allowed ourselves to deviate from the values of the constants recommended by the authors of the algorithm, replacing them with our own values. The minimum durations of audio segments perceived by the service as periods of voice activity (35 milliseconds versus 50 milliseconds in the original algorithm) and periods of silence (200 milliseconds versus 100 milliseconds) are also changed.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Service operation algorithm<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Algorithm <\/span><span lang=\"en-US\">i<\/span><span lang=\"be-BY\">nput<\/span><span lang=\"en-US\"> data<\/span><span lang=\"be-BY\">:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Test audio file or audio file uploaded by the user or recorded using a microphone, Audiofile;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Constants:<\/span><\/span>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The length of the analyzed frame, FRAME_LENGTH_MS. Equal<\/span><span lang=\"en-US\">s to<\/span><span lang=\"be-BY\"> 10 milliseconds;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The minimum duration of an audio file segment that can be considered<\/span><span lang=\"en-US\"> by<\/span><span lang=\"be-BY\"> a service <\/span><span lang=\"en-US\">as<\/span><span lang=\"be-BY\"> a segment of voice activity<\/span><span lang=\"en-US\">,<\/span><span lang=\"be-BY\"> MIN_VOICE_DURATION. Equal<\/span><span lang=\"en-US\">s<\/span><span lang=\"be-BY\"> to 35 milliseconds;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The minimum duration of an audio file<\/span><span lang=\"en-US\"> segment that<\/span><span lang=\"be-BY\"> can be considered <\/span><span lang=\"en-US\">by <\/span><span lang=\"be-BY\">a service <\/span><span lang=\"en-US\">as<\/span><span lang=\"be-BY\"> a pause, MIN_PAUSE_DURATION. Equal<\/span><span lang=\"en-US\">s to<\/span><span lang=\"be-BY\"> 200 milliseconds;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The <\/span><span lang=\"en-US\">primary<\/span> <span lang=\"en-US\">threshold for energy,<\/span><span lang=\"be-BY\"> Energy_PrimThresh. Equal<\/span><span lang=\"en-US\">s to<\/span><span lang=\"be-BY\"> 0<\/span><span lang=\"en-US\">,<\/span><span lang=\"be-BY\">015;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The <\/span><span lang=\"en-US\">primary<\/span><span lang=\"be-BY\"> threshold of the dominant frequency component of the speech spectrum, F_PrimTresh. Equal<\/span><span lang=\"en-US\">s<\/span><span lang=\"be-BY\"> to 7;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The primary<\/span><span lang=\"be-BY\"> threshold of the Spectral Flatness Measure (SFM), SF_PrimThresh. Equal<\/span><span lang=\"en-US\">s<\/span><span lang=\"be-BY\"> to 0,75;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The noise threshold, NOISE_LEVEL. Equal<\/span><span lang=\"en-US\">s to<\/span><span lang=\"be-BY\"> 0<\/span><span lang=\"en-US\">,<\/span><span lang=\"be-BY\">07;<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">User o<\/span><span lang=\"be-BY\">ptions:<\/span><\/span>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Fragments of the audio stream defined by the service, Fragments. It can take two <\/span><span lang=\"en-US\">options<\/span> <span lang=\"en-US\">\u2013<\/span><span lang=\"be-BY\"> voice activity (activity) or pause<\/span><span lang=\"en-US\">s<\/span><span lang=\"be-BY\"> (pauses);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Format for the service <\/span><span lang=\"en-US\">output<\/span><span lang=\"be-BY\">, Format. It can take two <\/span><span lang=\"en-US\">options<\/span> <span lang=\"en-US\">\u2013<\/span><span lang=\"be-BY\"> subtitles (srt) or <\/span><span lang=\"en-US\">labels<\/span><span lang=\"be-BY\"> (audacity).<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">The beginning of the algorithm.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 1.1. Reading digital data of Audiofile using SciPy library methods and recording it into a multidimensional array using NumPy library methods.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 1.2. Dividing the array into frames according to the value of FRAME_LENGTH_MS. No frame overlap is allowed. Counting the total number of frames (Num_Of_Frames).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 2. Preliminary normalization of the frames array, noise removal.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3. Sequentially for each frame (for i = 0; i &lt;Num_Of_Frames; i ++):<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.1 Computing frame energy (E (i)).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.2 Apply Fast Fourier Transform to each speech frame.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.2.1. Finding the dominant frequency component of the speech spectrum (F (i)) by the formula F (i) = arg<\/span><sub><span lang=\"en-US\">k<\/span><\/sub><span lang=\"en-US\">max (S(k)), where S(k) is the frame frequency corresponding to the maximum spectral value.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.2.2. Calculation of the abstract value of the spectral flatness measure, SFM(i), according to the formula SFM<\/span><sub><span lang=\"en-US\">db<\/span><\/sub><span lang=\"en-US\"> = 10log<\/span><sub><span lang=\"en-US\">10<\/span><\/sub><span lang=\"en-US\">(G<\/span><sub><span lang=\"en-US\">m<\/span><\/sub><span lang=\"en-US\">\/A<\/span><sub><span lang=\"en-US\">m<\/span><\/sub><span lang=\"en-US\">), where A<\/span><sub><span lang=\"en-US\">m<\/span><\/sub><span lang=\"en-US\"> and G<\/span><sub><span lang=\"en-US\">m<\/span><\/sub><span lang=\"en-US\"> are the arithmetic mean and geometric mean of the speech spectrum respectively.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.3. Supposing that some of the first 30 frames are silence. Calculation of the minimum value of the frame energy (Min_E), the minimum value of the dominant frequency component of the speech spectrum of the frame (Min_F) and the minimum value of the spectral flatness measure (Min_SF).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.4. Setting of the following decision thresholds for frame energy (Thresh_E), the dominant frequency component of the speech spectrum of the frame (Thresh_F), spectral flatness measure (Thresh_SF):<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Thresh_E = Energy_PrimThresh*log(Min_E);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Thresh_F = F_PrimThresh;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Thresh_SF = SF_Prim_Thresh.<\/span><\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.5. Initialization of the variable Counter = 0. Checking the following conditions:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If (E(i) \u2013 Min_E) &gt;= Thresh_E, then increment Counter;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If (F(i) \u2013 Min_F) &gt;= Thresh_F, then increment Counter;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If (SFM(i) \u2013 Min_SF) &gt;= Thresh_SF, then increment Counter.<\/span><\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.6. If Counter &gt; 1, mark the current frame as speech (true), otherwise mark it as silence (false).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 3.7. If the current frame is marked as silence, update the minimum frame energy value (Min_E) using the following formula:<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Min_E = <\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">where Silence<\/span><sub><span lang=\"be-BY\">Count<\/span><\/sub><span lang=\"be-BY\"> is the current number of frames marked as silence.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Step 3.8 Update the Thresh_E value according to the formula Thresh_E = Energy_PrimThresh * log (Min_E).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"be-BY\">Step 4. Ignore the sequence of silence frames lasting less than MIN_PAUSE_DURATION. Ignore speech frames lasting less than MIN_VOICE_DURATION.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 5.1. If the user requested pauses detection, invert the sequence of sounding speech and pauses (technically, replace true with false and vice versa).<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 5.2. Generate user output according to the Format value.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Step 6. Present the user the processing results in the subtitle format SRT.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The end of the algorithm<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>User interface description<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The user interface has two areas: the data input area and the output area. The appearance of the interface is shown in Figure 1.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8163\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1.png\" alt=\"\" width=\"1063\" height=\"351\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1.png 1063w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1-300x99.png 300w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1-1024x338.png 1024w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-1-1-768x254.png 768w\" sizes=\"(max-width: 1063px) 100vw, 1063px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 1 \u2013 The graphical interface of the service \u00abVoice Activity Detector\u00bb: data input area (left) and output area (right)<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The data input area is divided into 4 other areas: \u00abExamples\u00bb, \u00abRecord\u00bb, \u00abUpload file\u00bb, \u00abTests\u00bb.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Area \u00abExamples\u00bb<\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The appearance of the \u00abExamples\u00bb area is shown in Figure 2.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-2-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8162\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-2-1.png\" alt=\"\" width=\"573\" height=\"306\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-2-1.png 573w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-2-1-300x160.png 300w\" sizes=\"(max-width: 573px) 100vw, 573px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 2 \u2013 Graphical interface of the \u00abExamples\u00bb area<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The area interface contains the following elements:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting an example (each example is available for download);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Audio player to play the selected file;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abRun\u00bb button that initializes processing;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the type of fragments in the final output (it has the items \u00abPauses\u00bb and \u00abVoice activity\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the format of the final output (it has the items \u00abSubtitles\u00bb and \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Area \u00abRecord\u00bb<\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The appearance of the \u00abRecord\u00bb area is shown in Figure 3.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-3-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8161\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-3-1.png\" alt=\"\" width=\"575\" height=\"307\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-3-1.png 575w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-3-1-300x160.png 300w\" sizes=\"(max-width: 575px) 100vw, 575px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 3 \u2013 Graphical interface of the \u00abRecord\u00bb area<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The area interface contains the following elements:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abRecord\u00bb button that starts recording the audio file via the computer microphone (after pressing it turns into the \u00abStop\u00bb button);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Player for playing recorded audio;<\/span><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abRun\u00bb button that initializes processing;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the type of fragments in the final output (it has the items \u00abPauses\u00bb and \u00abVoice activity\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the format of the final output (it has the items \u00abSubtitles\u00bb and \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Area \u00abUpload file\u00bb<\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The appearance of the \u00abUpload file\u00bb area is shown in Figure 4.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-4-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8160\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-4-1.png\" alt=\"\" width=\"574\" height=\"238\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-4-1.png 574w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-4-1-300x124.png 300w\" sizes=\"(max-width: 574px) 100vw, 574px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 4 \u2013 Graphical interface of the \u00abUpload file\u00bb area<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The area interface contains the following elements:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abSelect &#8230;\u00bb button, which initializes the opening of a window for selecting a file on the user&#8217;s computer;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Status bar displaying data regarding file uploading;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abUpload\u00bb button for uploading a file from a computer and initiating processing;<\/span><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the type of fragments in the final output (it has the items \u00abPauses\u00bb and \u00abVoice activity\u00bb);<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Drop-down menu for selecting the format of the final output (it has the items \u00abSubtitles\u00bb and \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Area \u00abTests\u00bb<\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abTests\u00bb area is intended for visual presentation to the user of data about the quality of the algorithm. The appearance of the area is shown in Figure 5.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-5-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8159\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-5-1.png\" alt=\"\" width=\"575\" height=\"293\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-5-1.png 575w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-5-1-300x153.png 300w\" sizes=\"(max-width: 575px) 100vw, 575px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 5 \u2013 Graphical interface of the \u00abTests\u00bb area<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The area interface contains a line diagram that displays the values of F-measures to illustrate the quality of analysis of:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">synthesized speech;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">studio recording;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">studio recording with white noise;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\">movie fragment.<\/span><\/li>\n<\/ul>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">(values are listed in the order they appear from top to bottom)<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">To get the most accurate data, it is necessary to move the mouse cursor on the desired line of the diagram.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Output area<\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The appearance of the output area is shown in Figure 6.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-6-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8158\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-6-1.png\" alt=\"\" width=\"475\" height=\"347\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-6-1.png 475w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-6-1-300x219.png 300w\" sizes=\"(max-width: 475px) 100vw, 475px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 6 \u2013 Graphical interface of the output area<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The area interface contains the following elements:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The field for issuing results that contains the results of previous processing;<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The \u00abDownload\u00bb button that appears after completion of at least one processing. It initializes the download of the SRT file to the user&#8217;s computer.<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>User scenarios of work with the service<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Scenario 1. Analysis of examples.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Go to the \u00abExamples\u00bb tab.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the desired audio file (example) via the special menu.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If necessary, listen to the audio file using the player and\/or download the audio recording.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the type of fragments, the data about which will be presented in the processing results (\u00abPauses\u00bb or \u00abVoice activity\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the format for the presentation of processing results (\u00abSubtitles\u00bb or \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Click the \u00abRun\u00bb button.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Get the processing results in the output field.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If necessary, click the \u00abDownload\u00bb button to download the SRT file with the processing results.<\/span><\/span><\/li>\n<\/ol>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Scenario 2. Analysis of audio recordings created using a user&#8217;s microphone.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Go to the \u00abRecord\u00bb tab.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Press the \u00abRecord\u00bb button to initiate recording, make a record, press the \u00abStop\u00bb button to stop recording.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If necessary, listen to the recorded file using the player.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the type of fragments, the data of which will be presented in the processing results (\u00abPauses\u00bb or \u00abVoice Activity\u00bb). <\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the format for the presentation of processing results (\u00abSubtitles\u00bb or \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Click the \u00abRun\u00bb button.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Get the processing results in the output field.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If necessary, click the \u00abDownload\u00bb button to download the SRT file with the processing results.<\/span><\/span><\/li>\n<\/ol>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Scenario 3. Analysis of the user audio file.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Go to the \u201cUpload file\u201d tab.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Press the \u00abSelect\u2026\u00bb button.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">In the dialog box that opens, select the audio file in the WAV format on the computer. Information about the file will be presented in the status bar.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the type of fragments, the data of which will be presented in the processing results (\u00abPauses\u00bb or \u00abVoice Activity\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Select the format for the presentation of processing results (\u00abSubtitles\u00bb or \u00abAudacity labels\u00bb).<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Click the \u00abUpload\u00bb button to upload the audio file and initiate processing.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Get the processing results in the output field.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">If necessary, click the \u00abDownload\u00bb button to download the SRT file with the processing results.<\/span><\/span><\/li>\n<\/ol>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">The possible result of the service work according to scenarios 1\u20133 is shown in Figure 7.<\/span><\/span><\/p>\n<p><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-7-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group7980\" title=\"Voice Activity Detector\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-8157\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-7-1.png\" alt=\"\" width=\"472\" height=\"349\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-7-1.png 472w, https:\/\/ssrlab.by\/wp-content\/uploads\/2020\/06\/voice-activity-detector-7-1-300x222.png 300w\" sizes=\"(max-width: 472px) 100vw, 472px\" \/><\/a><\/span><\/p>\n<p class=\"western\" align=\"center\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Figure 7 \u2013 The result of the service \u00abVoice Activity Detector\u00bb work<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><u>Scenario 4. Obtaining information about the quality of the service work.<\/u><\/span><\/span><\/p>\n<ol>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Go to the \u00abTests\u00bb tab.<\/span><\/span><\/li>\n<li><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">In the tab that opens, move the mouse cursor over the necessary line of the diagram and see the test results.<\/span><\/span><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Access to the service via the API<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Access via the API is not provided for this service.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\"><b>Source references<\/b><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Service page \u2013 <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/corpus.by\/VoiceActivityDetector\/?lang=ru\"><span lang=\"en-US\">https:\/\/corpus.by\/VoiceActivityDetector\/?lang=ru<\/span><\/a><\/u><\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">Moattar, M.H. A simple but efficient real-time voice activity detection algorithm \/ M.H. Moattar, M.M. Homayounpour [Electronic resource] \/\/ 17<\/span><sup><span lang=\"en-US\">th<\/span><\/sup><span lang=\"en-US\"> European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, August 24-28, 2009. \u2013 Mode of access: <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/www.eurasip.org\/Proceedings\/Eusipco\/Eusipco2009\/contents\/papers\/1569192958.pdf\"><span lang=\"en-US\">https:\/\/www.eurasip.org\/Proceedings\/Eusipco\/Eusipco2009\/contents\/papers\/1569192958.pdf<\/span><\/a><\/u><\/span><span lang=\"en-US\">. \u2013 Date of access: 01.06.2020.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">NumPy library \u2013 <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/numpy.org\/\"><span lang=\"en-US\">https:\/\/numpy.org\/<\/span><\/a><\/u><\/span><span lang=\"en-US\">.<\/span><\/span><\/p>\n<p class=\"western\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 16px;\"><span lang=\"en-US\">SciPy library \u2013 <\/span><span style=\"color: #0563c1;\"><u><a href=\"https:\/\/www.scipy.org\/\"><span lang=\"en-US\">https:\/\/www.scipy.org\/<\/span><\/a><\/u><\/span><span lang=\"en-US\">.<\/span><\/span><\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Voice Activity Detector&#8221;> \u041c\u0430\u043b\u044e\u043d\u0430\u043a 1 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u00ab\u0420\u0430\u0441\u043f\u0430\u0437\u043d\u0430\u0432\u0430\u043d\u043d\u0435 \u0433\u0430\u043b\u0430\u0441\u0430\u0432\u043e\u0439 \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456\u00bb: \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0443\u0432\u043e\u0434\u0443 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445 (\u0437\u043b\u0435\u0432\u0430) \u0456 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0432\u044b\u0434\u0430\u0447\u044b \u0432\u044b\u043d\u0456\u043a\u0430\u045e (\u0441\u043f\u0440\u0430\u0432\u0430) \u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u0443\u0432\u043e\u0434\u0443 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445, \u0443 \u0441\u0432\u0430\u044e \u0447\u0430\u0440\u0433\u0443, \u0440\u0430\u0437\u0434\u0437\u0435\u043b\u0435\u043d\u0430 \u043d\u0430 4 \u0456\u043d\u0448\u044b\u044f \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456: \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb, \u00ab\u0417\u0430\u043f\u0456\u0441\u0430\u0446\u044c\u00bb, \u00ab\u0417\u0430\u0433\u0440\u0443\u0437\u0456\u0446\u044c \u0444\u0430\u0439\u043b\u00bb, \u00ab\u0422\u044d\u0441\u0442\u044b\u00bb. \u0412\u043e\u0431\u043b\u0430\u0441\u0446\u044c \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb \u0417\u043d\u0435\u0448\u043d\u0456 \u0432\u044b\u0433\u043b\u044f\u0434 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 2. \u041c\u0430\u043b\u044e\u043d\u0430\u043a 2 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456 \u00ab\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b\u00bb \u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 [&hellip;]<\/p>\n<a class = \"excerpt\" href=\"https:\/\/ssrlab.by\/en\/7980\">Read more...<\/a>","protected":false},"author":14,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,329],"tags":[],"_links":{"self":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/7980"}],"collection":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/comments?post=7980"}],"version-history":[{"count":5,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/7980\/revisions"}],"predecessor-version":[{"id":8180,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/7980\/revisions\/8180"}],"wp:attachment":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/media?parent=7980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/categories?post=7980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/tags?post=7980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}