Метод розпізнавання дефектного мовлення на базі технології Mel-cepstral
Ключові слова:
Potapova K.R., Nalyvajchuk M.V., Klymchuk І.O. Defect speech recognition method based on Mel-cepstral розпізнавання мови, мов
Анотація
У статті досліджується методи розпізнавання мови людей з порушенням мовного апарату по короткому словнику з використанням mel-кепстральних коефіцієнтів.
Посилання
The 11th International scientific and practical conference "European scientific discussions" (September 12-14, 2021) Potere della ragione Editore, Rome, Italy, 2021, 337 p., UDC 001.1, ISBN 978-88-32934-02-1 , P. 64-68
S. Davis and P. Murmelstein Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences. In IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 28 No. 4, 1980.
UDC 001.1 The 7th International scientific and practical conference “Results of modern scientific research and development” (September 19-21, 2021) Barca Academy Publishing, Madrid, Spain. 2021. 336 p. ISBN 978-84-15927-33-4, P. 105-108
Vintsyuk TK, Analysis, recognition and interpretation of speech signals, - Kyiv: Naukova Dumka, 1987. - 264 p.
I.V. Ognev, AI Ognev, P.A. Paramonov, NA Sutula, The use of extrema distribution as a feature vector for speech patterns recognition // The 11th International Conference "Pattern Recognition and Image Analysis: New Information Technologies", Vol. 1, 2013. - pp. 114-117.
Claudio Becchetti, Lucio Prina Ricotti, Speech Recognition. Theory and C ++ Implementation - Wiley. - 1999, 428 p.
L. Rabiner, R. Schaefer, Digital processing of speech signals. - M .: Radio and communication, 1981. - 496 p.
Т.В. Sharii, On the problem of speech signal parameterization in modern speech recognition systems // Visnyk of Donetsk National University, 2008, vol. 2, 536-541 c.
S. Davis and P. Murmelstein Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences. In IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 28 No. 4, 1980.
UDC 001.1 The 7th International scientific and practical conference “Results of modern scientific research and development” (September 19-21, 2021) Barca Academy Publishing, Madrid, Spain. 2021. 336 p. ISBN 978-84-15927-33-4, P. 105-108
Vintsyuk TK, Analysis, recognition and interpretation of speech signals, - Kyiv: Naukova Dumka, 1987. - 264 p.
I.V. Ognev, AI Ognev, P.A. Paramonov, NA Sutula, The use of extrema distribution as a feature vector for speech patterns recognition // The 11th International Conference "Pattern Recognition and Image Analysis: New Information Technologies", Vol. 1, 2013. - pp. 114-117.
Claudio Becchetti, Lucio Prina Ricotti, Speech Recognition. Theory and C ++ Implementation - Wiley. - 1999, 428 p.
L. Rabiner, R. Schaefer, Digital processing of speech signals. - M .: Radio and communication, 1981. - 496 p.
Т.В. Sharii, On the problem of speech signal parameterization in modern speech recognition systems // Visnyk of Donetsk National University, 2008, vol. 2, 536-541 c.
Опубліковано
2022-07-01
Як цитувати
ПотаповаK., Наливайчук, М., & Климчук, І. (2022). Метод розпізнавання дефектного мовлення на базі технології Mel-cepstral. КОМП’ЮТЕРНО-ІНТЕГРОВАНІ ТЕХНОЛОГІЇ: ОСВІТА, НАУКА, ВИРОБНИЦТВО, (47), 117-122. https://doi.org/10.36910/6775-2524-0560-2022-47-18
Розділ
Телекомунікації та радіотехніка
