Non-Fiction Books:

Hierarchical Neural Network Structures for Phoneme Recognition

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Description

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.
Release date Australia
October 18th, 2012
Audience
  • Professional & Vocational
Illustrations
XVIII, 134 p.
Pages
134
Dimensions
155x235x15
ISBN-13
9783642344244
Product ID
20924614

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