Low power design techniques for speech recognition - Tapa blanda

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

9783659167904: Low power design techniques for speech recognition

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ISBN 10: 3659167908 ISBN 13: 9783659167904

Editorial: 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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Editorial: LAP LAMBERT Academic Publishing
A�o de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 3659167908
ISBN 13: 9783659167904
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Low power design techniques for speech recognition

Mayurkumar Ladumor

Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Taschenbuch. Condici�n: 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 ref. del art�culo: 9783659167904

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Low power design techniques for speech recognition

Mayurkumar Ladumor

Publicado por LAP LAMBERT Academic Publishing, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Taschenbuch. Condici�n: 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 ref. del art�culo: 9783659167904

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Low power design techniques for speech recognition

Mayurkumar Ladumor|Shreyas Charola|Shobhit K. Patel

Publicado por LAP LAMBERT Academic Publishing, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Condici�n: 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 ref. del art�culo: 385766246

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Low power design techniques for speech recognition

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

Publicado por LAP LAMBERT Academic Publishing, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Low power design techniques for speech recognition

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

Publicado por LAP LAMBERT Academic Publishing, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Low power design techniques for speech recognition

Mayurkumar Ladumor

Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019

ISBN 10: 3659167908 ISBN 13: 9783659167904

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

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Taschenbuch. Condici�n: 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 ref. del art�culo: 9783659167904

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