Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
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Ajouter au panierPaperback. Etat : 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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Ajouter au panierEtat : New. pp. 152.
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Ajouter au panierHardcover. Etat : Brand New. 2013 edition. 150 pages. 9.25x6.25x0.25 inches. In Stock.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10 : 3642344240 ISBN 13 : 9783642344244
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 106,99
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Ajouter au panierBuch. Etat : 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.
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Ajouter au panierPaperback. Etat : Brand New. 2013 edition. 152 pages. 9.25x6.10x0.35 inches. In Stock.
Edité par Springer Berlin Heidelberg, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 106,99
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Ajouter au panierTaschenbuch. Etat : 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.
Edité par Springer Berlin Heidelberg, 2012
ISBN 10 : 3642344240 ISBN 13 : 9783642344244
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 106,99
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Ajouter au panierBuch. Etat : 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.
Edité par Springer Berlin Heidelberg, 2012
ISBN 10 : 3642344240 ISBN 13 : 9783642344244
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
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Ajouter au panierPaperback. Etat : 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.
Edité par Springer Berlin Heidelberg Nov 2014, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
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Ajouter au panierTaschenbuch. Etat : 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.
Edité par Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10 : 3642344240 ISBN 13 : 9783642344244
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : 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.
Edité par Springer Berlin Heidelberg, 2012
ISBN 10 : 3642344240 ISBN 13 : 9783642344244
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 92,27
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Ajouter au panierEtat : 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.
Edité par Springer Berlin Heidelberg, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 92,27
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : 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.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 143,41
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Ajouter au panierEtat : New. Print on Demand.
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Ajouter au panierEtat : New. Print on Demand pp. 152 49 Illus.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 152.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2014, 2014
ISBN 10 : 3642432107 ISBN 13 : 9783642432101
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.