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Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10: 3642432107 ISBN 13: 9783642432101
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level. In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. Additionally, the output of the first level is used as an input for the second level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 3642432107 ISBN 13: 9783642432101
Sprache: Englisch
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In den WarenkorbZustand: New. The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems. It shows how the artificial neural network paradigm can simplify the analysis of spoken language. Series: Signals and Communication Technology. Num Pages: 152 pages, biography. BIC Classification: TTBM; UYQ; UYQL; UYZG. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 244. . 2011. Paperback. . . . .
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In den WarenkorbZustand: New. The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems. It shows how the artificial neural network paradigm can simplify the analysis of spoken language. Series: Signals and Communication Technology. Num Pages: 152 pages, biography. BIC Classification: TTBM; UYQ; UYQL; UYZG. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 244. . 2011. Paperback. . . . . Books ship from the US and Ireland.
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10: 3642344240 ISBN 13: 9783642344244
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
Verlag: Springer Berlin Heidelberg, 2014
ISBN 10: 3642432107 ISBN 13: 9783642432101
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642344240 ISBN 13: 9783642344244
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are evaluated on the phoneme recognition task where a Hybrid Hidden Markov Model/Artificial Neural Network paradigm is used. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron. Additionally, the output of the first level serves as a second level input. The computational speed of the phoneme recognizer can be substantially increased by removing redundant information still contained at the first level output. Several techniques based on temporal and phonetic criteria have been investigated to remove this redundant information. The computational time could be reduced by 57% whilst keeping the system accuracy comparable to the baseline hierarchical approach.
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ISBN 10: 3642432107 ISBN 13: 9783642432101
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In den WarenkorbPaperback. Zustand: new. Paperback. In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level. In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. Additionally, the output of the first level is used as an input for the second level. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Springer Berlin Heidelberg Nov 2014, 2014
ISBN 10: 3642432107 ISBN 13: 9783642432101
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level. 152 pp. Englisch.
Verlag: Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10: 3642344240 ISBN 13: 9783642344244
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are evaluated on the phoneme recognition task where a Hybrid Hidden Markov Model/Artificial Neural Network paradigm is used. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron. Additionally, the output of the first level serves as a second level input. The computational speed of the phoneme recognizer can be substantially increased by removing redundant information still contained at the first level output. Several techniques based on temporal and phonetic criteria have been investigated to remove this redundant information. The computational time could be reduced by 57% whilst keeping the system accuracy comparable to the baseline hierarchical approach. 152 pp. Englisch.
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642344240 ISBN 13: 9783642344244
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Simplifies the analysis in spoken language dialogue systemsInvestigates hierarchical structures based on neural networks for automatic speech recognitionWritten for academic and industrial researchers in speech recognitionIn this bo.
Verlag: Springer Berlin Heidelberg, 2014
ISBN 10: 3642432107 ISBN 13: 9783642432101
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Simplifies the analysis in spoken language dialogue systemsInvestigates hierarchical structures based on neural networks for automatic speech recognitionWritten for academic and industrial researchers in speech recognitionIn this bo.
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In den WarenkorbZustand: New. Print on Demand pp. 152 49 Illus.
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. 152.