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Daniel Vasquez & Rainer Gruhn 
Hierarchical Neural Network Structures for Phoneme Recognition [PDF ebook] 

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Couverture du Daniel Vasquez & Rainer Gruhn: Hierarchical Neural Network Structures for Phoneme Recognition (PDF)

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.

€96.29
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Table des matières

Background in Speech Recognition.- Phoneme Recognition Task.- Hierarchical Approach and Downsampling Schemes.- Extending the Hierarchical Scheme: Inter and Intra Phonetic Information.- Theoretical framework for phoneme recognition analysis.
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Langue Anglais ● Format PDF ● Pages 134 ● ISBN 9783642344251 ● Taille du fichier 2.3 MB ● Âge 02-99 ans ● Maison d’édition Springer Berlin ● Lieu Heidelberg ● Pays DE ● Publié 2012 ● Téléchargeable 24 mois ● Devise EUR ● ID 2666045 ● Protection contre la copie DRM sociale

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