Daniel Vasquez

(Author)

Hierarchical Neural Network Structures for Phoneme Recognition (2013)Hardcover - 2013, 18 October 2012

Hierarchical Neural Network Structures for Phoneme Recognition (2013)
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Part of Series
Signals and Communication Technology
Part of Series
Signals and Communication Technology (Hardcover)
Print Length
134 pages
Language
English
Publisher
Springer
Date Published
18 Oct 2012
ISBN-10
3642344240
ISBN-13
9783642344244

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.

Product Details

Authors:
Daniel VasquezRainer GruhnWolfgang Minker
Book Edition:
2013
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
18 October 2012
Dimensions:
23.37 x 16 x 1.52 cm
Genre:
Science/Technology Aspects
ISBN-10:
3642344240
ISBN-13:
9783642344244
Language:
English
Location:
Berlin, Heidelberg
Pages:
134
Publisher:
Weight:
362.87 gm

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