Automatic Isolated Speech Recognition System Using Mfcc Analysis: A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC - Tapa blanda
Sinopsis
This is all about a successfully implemented research project which is expected to be a commercial product in future. Objective of the research is to develop an Automatic Isolated Speech Recognition System (AISR) which will be able to classify four distinct words class enunciated as "GO", "STOP", "LEFT" and "RIGHT". Speech data are analyzed mainly with Mel Frequency Cepstrum Coefficients (MFCC) analysis along with some subsidiary DSP processing to create compact and prolific speech database. While Artificial Neural Network (ANN) is used as a classifier or recognizer to classify among the four distinct word classes. In order to justify feasibility and effectiveness of proposed ASR system a small scale application is implemented as well with designated speech classes.
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Acerca del autor
Mohammad Faisal & Aasim Ullah are senior faculty members of International Islamic University of Chittagong(IIUC),Bangladesh. Daud Shakil, a bachelor student from same alma mater researched on Speech Recognition System under their supervision.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Automatic Isolated Speech Recognition System Using MFCC Analysis
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LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
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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 -This is all about a successfully implemented research project which is expected to be a commercial product in future. Objective of the research is to develop an Automatic Isolated Speech Recognition System (AISR) which will be able to classify four distinct words class enunciated as 'GO', 'STOP', 'LEFT' and 'RIGHT'. Speech data are analyzed mainly with Mel Frequency Cepstrum Coefficients (MFCC) analysis along with some subsidiary DSP processing to create compact and prolific speech database. While Artificial Neural Network (ANN) is used as a classifier or recognizer to classify among the four distinct word classes. In order to justify feasibility and effectiveness of proposed ASR system a small scale application is implemented as well with designated speech classes. 116 pp. Englisch. Nº de ref. del artículo: 9783659595653
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Automatic Isolated Speech Recognition System Using MFCC Analysis
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Faisal MohammadMohammad Faisal & Aasim Ullah are senior faculty members of International Islamic University of Chittagong(IIUC),Bangladesh. Daud Shakil, a bachelor student from same alma mater researched on Speech Recognition Syste. Nº de ref. del artículo: 5167464
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Automatic Isolated Speech Recognition System Using MFCC Analysis
Publicado por
LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is all about a successfully implemented research project which is expected to be a commercial product in future. Objective of the research is to develop an Automatic Isolated Speech Recognition System (AISR) which will be able to classify four distinct words class enunciated as ¿GO¿, ¿STOP¿, ¿LEFT¿ and ¿RIGHT¿. Speech data are analyzed mainly with Mel Frequency Cepstrum Coefficients (MFCC) analysis along with some subsidiary DSP processing to create compact and prolific speech database. While Artificial Neural Network (ANN) is used as a classifier or recognizer to classify among the four distinct word classes. In order to justify feasibility and effectiveness of proposed ASR system a small scale application is implemented as well with designated speech classes.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. Nº de ref. del artículo: 9783659595653
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Automatic Isolated Speech Recognition System Using MFCC Analysis : A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is all about a successfully implemented research project which is expected to be a commercial product in future. Objective of the research is to develop an Automatic Isolated Speech Recognition System (AISR) which will be able to classify four distinct words class enunciated as 'GO', 'STOP', 'LEFT' and 'RIGHT'. Speech data are analyzed mainly with Mel Frequency Cepstrum Coefficients (MFCC) analysis along with some subsidiary DSP processing to create compact and prolific speech database. While Artificial Neural Network (ANN) is used as a classifier or recognizer to classify among the four distinct word classes. In order to justify feasibility and effectiveness of proposed ASR system a small scale application is implemented as well with designated speech classes. Nº de ref. del artículo: 9783659595653
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Automatic Isolated Speech Recognition System Using MFCC Analysis | A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
Nuevo
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Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Automatic Isolated Speech Recognition System Using MFCC Analysis | A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC | Mohammad Faisal (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659595653 | 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: 105100358
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Automatic Isolated Speech Recognition System Using MFCC Analysis: A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659595659
ISBN 13: 9783659595653
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