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Speaker Recognition using Linear Prediction Residual Features.
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Chenchamma Gorantla and Dr.Govardhan Aliseri
ISBN: 9783659868702
Год издания: 2016
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 208
Издательство: LAP LAMBERT Academic Publishing
Цена: 43954 тг
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Сферы деятельности:Код товара: 158588
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Аннотация: This book presents a research on speaker recognition.Speaker Recognition is the task of recognizing a person from his/her voice.The speech signal contains characteristics of speaker and language.This work highlights the characteristics of the speaker.The speaker characteristics are computed using Linear predictive Analysis where the vocal tract and source features are obtained and are modeled by using Gaussian Mixture Model and Ergodic Hidden Markov Model.The results are produced in MAT LAB. This work on speaker recognition system is robust to noise.
Ключевые слова: LP Residual, Gaussian Mixture Model(GMM), Ergodic Hidden Markov Model(EHMM), Hilbert Envelope(HE), Residual Phase(RP)
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