Synopsis
Speaker Recognition is used for identification of a person depending on the characteristics contained in the speech signal. In this paper we propose the use of Deep Neural Network (DNN) for text dependent speaker Recognition system (SRS). Mel Frequency Cepstral Coefficients (MFCC) and Auto-encoder (Butterfly Structure Neural Network) are used to extract the features of speech signal at the initial stage. The previously obtained coefficients are then used to train the DNN to later classify the speakers. DNN can be directly used to extract features and classify speakers but the MFCC and Auto-encoder are used initially for data compression and maximum number of feature extraction thus aiming to get better efficiency and faster results.
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Text Dependent Speaker Recognition using Deep Neural Networks
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
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LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Speaker Recognition is used for identification of a person depending on the characteristics contained in the speech signal. In this paper we propose the use of Deep Neural Network (DNN) for text dependent speaker Recognition system (SRS). Mel Frequency Cepstral Coefficients (MFCC) and Auto-encoder (Butterfly Structure Neural Network) are used to extract the features of speech signal at the initial stage. The previously obtained coefficients are then used to train the DNN to later classify the speakers. DNN can be directly used to extract features and classify speakers but the MFCC and Auto-encoder are used initially for data compression and maximum number of feature extraction thus aiming to get better efficiency and faster results. 52 pp. Englisch. Seller Inventory # 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
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Text Dependent Speaker Recognition using Deep Neural Networks
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ISBN 10: 3659921718
ISBN 13: 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suthar AnilkumarDr. Anilkumar Suthar is a Supervisor and Director of L J Institute of Engineering & Technology.Ms.K.Kansara is Post Graduate student in Department of Electronics & Communication Engineering.Speaker Recognition is . Seller Inventory # 385770807
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Text Dependent Speaker Recognition using Deep Neural Networks
Published by
LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Taschenbuch. Condition: Neu. Neuware -Speaker Recognition is used for identification of a person depending on the characteristics contained in the speech signal. In this paper we propose the use of Deep Neural Network (DNN) for text dependent speaker Recognition system (SRS). Mel Frequency Cepstral Coefficients (MFCC) and Auto-encoder (Butterfly Structure Neural Network) are used to extract the features of speech signal at the initial stage. The previously obtained coefficients are then used to train the DNN to later classify the speakers. DNN can be directly used to extract features and classify speakers but the MFCC and Auto-encoder are used initially for data compression and maximum number of feature extraction thus aiming to get better efficiency and faster results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Seller Inventory # 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
New
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Speaker Recognition is used for identification of a person depending on the characteristics contained in the speech signal. In this paper we propose the use of Deep Neural Network (DNN) for text dependent speaker Recognition system (SRS). Mel Frequency Cepstral Coefficients (MFCC) and Auto-encoder (Butterfly Structure Neural Network) are used to extract the features of speech signal at the initial stage. The previously obtained coefficients are then used to train the DNN to later classify the speakers. DNN can be directly used to extract features and classify speakers but the MFCC and Auto-encoder are used initially for data compression and maximum number of feature extraction thus aiming to get better efficiency and faster results. Seller Inventory # 9783659921711
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Text Dependent Speaker Recognition using Deep Neural Networks
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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Taschenbuch. Condition: Neu. Text Dependent Speaker Recognition using Deep Neural Networks | Anilkumar Suthar | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659921711 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 114692494
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Text Dependent Speaker Recognition using Deep Neural Networks
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659921718
ISBN 13: 9783659921711
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA82936599217186