Распознавание голоса в системах безопасности
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XIV Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 25-28 апреля 2017 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2017 Т. 7 : IT-технологии и электроника.— 2017.— [С. 60-62] |
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| প্রধান লেখক: | |
| অন্যান্য লেখক: | |
| সংক্ষিপ্ত: | Заглавие с экрана This article discusses the problem of biometric way of identifying a person, in particular, voice recognition for safety system. The algorithm for obtaining the speaker's voice model is described. In this paper, the method of Mel-frequency cepstral coefficients (MFCC) is considered for distinguishing the distinctive features of the speaker. Besides, speaker recognition by voice may be used in criminal investigations, forensics and radio reconnaissance. |
| ভাষা: | রুশ |
| প্রকাশিত: |
2017
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://earchive.tpu.ru/handle/11683/45328 |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=625680 |
| সংক্ষিপ্ত: | Заглавие с экрана This article discusses the problem of biometric way of identifying a person, in particular, voice recognition for safety system. The algorithm for obtaining the speaker's voice model is described. In this paper, the method of Mel-frequency cepstral coefficients (MFCC) is considered for distinguishing the distinctive features of the speaker. Besides, speaker recognition by voice may be used in criminal investigations, forensics and radio reconnaissance. |
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