Vector Quantization based Speech Recognition System: Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients - Tapa blanda
Sinopsis
Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.
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Reseña del editor
Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.
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Vector Quantization based Speech Recognition System
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LAP LAMBERT Academic Publishing Jun 2010, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances. 80 pp. Englisch. Nº de ref. del artículo: 9783838368917
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Vector Quantization based Speech Recognition System
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Islam Md. RabiulMd. Rabiul Islam is an Assistant Professor in the Department of Computer Science and Engineering at Rajshahi University of Engineering and Technology. His research interests include bio-informatics, human-computer int. Nº de ref. del artículo: 5417206
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Vector Quantization based Speech Recognition System
Publicado por
LAP LAMBERT Academic Publishing Jun 2010, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Nº de ref. del artículo: 9783838368917
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Vector Quantization based Speech Recognition System : Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances. Nº de ref. del artículo: 9783838368917
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Vector Quantization based Speech Recognition System | Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
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Librería: preigu, Osnabrück, Alemania
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Taschenbuch. Condición: Neu. Vector Quantization based Speech Recognition System | Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients | Md. Rabiul Islam (u. a.) | Taschenbuch | 80 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838368917 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101073025
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Vector Quantization based Speech Recognition System: Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838368916
ISBN 13: 9783838368917
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA79038383689166
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