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Speech Recognition System using MATLAB: Design, Implementation, and Samples Codes - Tapa blanda

Abushariah, Ahmad A. M.; Gunawan, Teddy Surya

 
9783846503768: Speech Recognition System using MATLAB: Design, Implementation, and Samples Codes
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ISBN 10: 3846503762 ISBN 13: 9783846503768
Editorial: LAP LAMBERT Academic Publishing, 2011

Sinopsis

Research in automatic speech recognition has been done for almost four decades. This project aims to develop automated English digits speech recognition system using Matlab. The system is able to recognize the spoken utterances by translating the speech waveform into a set of feature vectors using Mel Frequency Cepstral Coefficients (MFCC) technique, which then estimates the observation likelihood by using the Forward algorithm. The Hidden Markov Model (HMM) parameters are estimated by applying the Baum-Welch algorithm on previously trained samples. The most likely sequence is then decoded using Viterbi algorithm, thus producing the recognized word. This project focuses on all English digits from (Zero through Nine), which is based on isolated words structure. Two modules were developed, namely the isolated words speech recognition and the continuous speech recognition. Both modules were tested in both clean and noisy environments and showed relatively sucessful recognition rates. The samples of Matlab codes were provided in the Appendix.

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Reseña del editor

Research in automatic speech recognition has been done for almost four decades. This project aims to develop automated English digits speech recognition system using Matlab. The system is able to recognize the spoken utterances by translating the speech waveform into a set of feature vectors using Mel Frequency Cepstral Coefficients (MFCC) technique, which then estimates the observation likelihood by using the Forward algorithm. The Hidden Markov Model (HMM) parameters are estimated by applying the Baum-Welch algorithm on previously trained samples. The most likely sequence is then decoded using Viterbi algorithm, thus producing the recognized word. This project focuses on all English digits from (Zero through Nine), which is based on isolated words structure. Two modules were developed, namely the isolated words speech recognition and the continuous speech recognition. Both modules were tested in both clean and noisy environments and showed relatively sucessful recognition rates. The samples of Matlab codes were provided in the Appendix.

Biografía del autor

::: Ahmad Abushariah graduated from International Islamic University Malaysia in 2009, and is currently pursuing Master degree at IIUM. His research interest is speech and image processing. ::: Teddy Surya Gunawan received his PhD degree from UNSW in 2007 specializing in signal processing. He is currently an Assistant Professor at IIUM.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3846503762
ISBN 13 
9783846503768
Encuadernación
Tapa blanda
Número de páginas
112
Contacto del fabricante
no disponible
Persona responsable
info@bod.de
info@bod.de

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