This book presents a study for speaker recognition rates for speech transmitted through Bluetooth channel as a degraded speech signals, while training phase is made by clean speech. This is based on the Mel-frequency cepstral coefficients (MFCC) for feature extraction from the speech. Different approaches for feature extractions was experimented; features from signal, feature from DCT, from signal plus DCT, features from DST, from signal plus DST, DWT of signal, and from signal plus DWT. The book introduces how Neural Network (NN) classification technique is used in the experiment as a classifier. In the training phase of experiments, the MFCCs and polynomial coefficients are estimated to form the feature vectors of the database. In the testing phase, similar features to that used in the training are extracted from the degraded or transmitted samples and used for matching. This book has investigated the process of speaker identification from speech transmitted over Bluetooth system. How the recognition rate for SNR above 0 dB is getting improved, and how the energy compaction property of the DCT allows robust features to be extracted from few samples.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khalil AliAli Ahmed KhalilBorn in Egypt, 1981.Graduated in faculty of engineering, Tanta University in 2003.Has many publications in international magazines and conferences. Received his Msc degree in June 2014.He occupied many acade. N° de réf. du vendeur 151243317
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a study for speaker recognition rates for speech transmitted through Bluetooth channel as a degraded speech signals, while training phase is made by clean speech. This is based on the Mel-frequency cepstral coefficients (MFCC) for feature extraction from the speech. Different approaches for feature extractions was experimented; features from signal, feature from DCT, from signal plus DCT, features from DST, from signal plus DST, DWT of signal, and from signal plus DWT. The book introduces how Neural Network (NN) classification technique is used in the experiment as a classifier. In the training phase of experiments, the MFCCs and polynomial coefficients are estimated to form the feature vectors of the database. In the testing phase, similar features to that used in the training are extracted from the degraded or transmitted samples and used for matching. This book has investigated the process of speaker identification from speech transmitted over Bluetooth system. How the recognition rate for SNR above 0 dB is getting improved, and how the energy compaction property of the DCT allows robust features to be extracted from few samples. N° de réf. du vendeur 9783330851139
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. Neuware -This book presents a study for speaker recognition rates for speech transmitted through Bluetooth channel as a degraded speech signals, while training phase is made by clean speech. This is based on the Mel-frequency cepstral coefficients (MFCC) for feature extraction from the speech. Different approaches for feature extractions was experimented; features from signal, feature from DCT, from signal plus DCT, features from DST, from signal plus DST, DWT of signal, and from signal plus DWT. The book introduces how Neural Network (NN) classification technique is used in the experiment as a classifier. In the training phase of experiments, the MFCCs and polynomial coefficients are estimated to form the feature vectors of the database. In the testing phase, similar features to that used in the training are extracted from the degraded or transmitted samples and used for matching. This book has investigated the process of speaker identification from speech transmitted over Bluetooth system. How the recognition rate for SNR above 0 dB is getting improved, and how the energy compaction property of the DCT allows robust features to be extracted from few samples. 128 pp. Englisch. N° de réf. du vendeur 9783330851139
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -This book presents a study for speaker recognition rates for speech transmitted through Bluetooth channel as a degraded speech signals, while training phase is made by clean speech. This is based on the Mel-frequency cepstral coefficients (MFCC) for feature extraction from the speech. Different approaches for feature extractions was experimented; features from signal, feature from DCT, from signal plus DCT, features from DST, from signal plus DST, DWT of signal, and from signal plus DWT. The book introduces how Neural Network (NN) classification technique is used in the experiment as a classifier. In the training phase of experiments, the MFCCs and polynomial coefficients are estimated to form the feature vectors of the database. In the testing phase, similar features to that used in the training are extracted from the degraded or transmitted samples and used for matching. This book has investigated the process of speaker identification from speech transmitted over Bluetooth system. How the recognition rate for SNR above 0 dB is getting improved, and how the energy compaction property of the DCT allows robust features to be extracted from few samples.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. N° de réf. du vendeur 9783330851139
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