Low power design techniques for speech recognition - Couverture souple

Ladumor, Mayurkumar; Charola, Shreyas; Patel, Shobhit K.

9783659167904: Low power design techniques for speech recognition

Couverture souple

ISBN 10 : 3659167908 ISBN 13 : 9783659167904

Editeur : LAP LAMBERT Academic Publishing, 2019

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Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3659167908
ISBN 13: 9783659167904
Reliure: Broch�
Nombre de pages: 60
Coordonn�es du fabricant: non disponible

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Low power design techniques for speech recognition

Mayurkumar Ladumor|Shreyas Charola|Shobhit K. Patel

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 3659167908 ISBN 13 : 9783659167904

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ladumor MayurkumarShreyas Charola is an expert in low power designs, VLSI designs and has published many research papers in this field. Shobhit K. Patel and Mayur Ladumor have published many research papers in VLSI, RF Circuit Design. N� de r�f. du vendeur 385766246

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Low power design techniques for speech recognition

Mayurkumar Ladumor

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 3659167908 ISBN 13 : 9783659167904

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed. N� de r�f. du vendeur 9783659167904

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Low power design techniques for speech recognition

Mayurkumar Ladumor

Edit� par LAP LAMBERT Academic Publishing Jul 2019, 2019

ISBN 10 : 3659167908 ISBN 13 : 9783659167904

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed. 60 pp. Englisch. N� de r�f. du vendeur 9783659167904

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Low power design techniques for speech recognition

Mayurkumar Ladumor

Edit� par LAP LAMBERT Academic Publishing Jul 2019, 2019

ISBN 10 : 3659167908 ISBN 13 : 9783659167904

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed.Books on Demand GmbH, �berseering 33, 22297 Hamburg 60 pp. Englisch. N� de r�f. du vendeur 9783659167904

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