Low power design techniques for speech recognition
Ladumor, Mayurkumar; Charola, Shreyas; Patel, Shobhit K.
ISBN 10: 3659167908 ISBN 13: 9783659167904
Editore: LAP LAMBERT Academic Publishing, 2019
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Print on Demand. Codice articolo 400648625
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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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Titolo: Low power design techniques for speech ...
Casa editrice: LAP LAMBERT Academic Publishing
Data di pubblicazione: 2019
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Low power design techniques for speech recognition
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659167908
ISBN 13: 9783659167904
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Condizione: 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. Codice articolo 385766246
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Low power design techniques for speech recognition
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659167908
ISBN 13: 9783659167904
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Taschenbuch. Condizione: Neu. Low power design techniques for speech recognition | Mayurkumar Ladumor (u. a.) | Taschenbuch | 60 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659167904 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 117206387
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Low power design techniques for speech recognition
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LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 3659167908
ISBN 13: 9783659167904
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Taschenbuch. Condizione: 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. Codice articolo 9783659167904
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Low power design techniques for speech recognition
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ISBN 10: 3659167908
ISBN 13: 9783659167904
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Taschenbuch. Condizione: 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. Codice articolo 9783659167904
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Low power design techniques for speech recognition
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ISBN 10: 3659167908
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Codice articolo 9783659167904
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Low power design techniques for speech recognition
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ISBN 10: 3659167908
ISBN 13: 9783659167904
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Paperback. Condizione: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock. Codice articolo 3659167908
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Low power design techniques for speech recognition
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ISBN 13: 9783659167904
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82936591679086
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