Articles liés à Hierarchical Neural Network Structures for Phoneme...
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 111,65
EUR 13,80 expédition depuis Royaume-Uni vers Etats-Unis
Destinations, frais et délaisAutres éditions populaires du même titre
Résultats de recherche pour Hierarchical Neural Network Structures for Phoneme...
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition (Signals and Communication Technology)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783642344244_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition (Hardcover)
Edité par
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
ISBN 10 : 3642344240
ISBN 13 : 9783642344244
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. N° de réf. du vendeur 9783642344244
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Hierarchical Neural Network Structures for Phoneme Recognition
Edité par
Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10 : 3642344240
ISBN 13 : 9783642344244
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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. N° de réf. du vendeur 9783642344244
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Hierarchical Neural Network Structures for Phoneme Recognition
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642344240
ISBN 13 : 9783642344244
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : 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. N° de réf. du vendeur 5057608
Quantité disponible : Plus de 20 disponibles
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 152. N° de réf. du vendeur 2658580144
Quantité disponible : 4 disponible(s)
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Print on Demand pp. 152 49 Illus. N° de réf. du vendeur 51012463
Quantité disponible : 4 disponible(s)
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. PRINT ON DEMAND pp. 152. N° de réf. du vendeur 1858580154
Quantité disponible : 4 disponible(s)
Image d'archives
Hierarchical Neural Network Structures for Phoneme Recognition
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Brand New. 2013 edition. 150 pages. 9.25x6.25x0.25 inches. In Stock. N° de réf. du vendeur x-3642344240
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Hierarchical Neural Network Structures for Phoneme Recognition
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10 : 3642344240
ISBN 13 : 9783642344244
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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. N° de réf. du vendeur 9783642344244
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Hierarchical Neural Network Structures for Phoneme Recognition
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642344240
ISBN 13 : 9783642344244
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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. N° de réf. du vendeur 9783642344244
Quantité disponible : 1 disponible(s)