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Speech Recognition System using MATLAB: Design, Implementation, and Samples Codes - Couverture souple

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

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

Synopsis

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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Présentation de l'éditeur

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.

Biographie de l'auteur

::: 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3846503762
ISBN 13 
9783846503768
Reliure
Broché
Nombre de pages
112
Coordonnées du fabricant
non disponible
Personne responsable
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