Hierarchical Neural Network Structures For Phoneme Recognition (Signals And Communication Technology)

$119.67 New Out of stock Publisher: Springer
SKU: SONG3642344240
ISBN : 9783642344244
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Hierarchical Neural Network Structures for Phoneme Recognition (Signals and Communication Technology)

Hierarchical Neural Network Structures for Phoneme Recognition (Signals and Communication Technology)

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.

Specification of Hierarchical Neural Network Structures for Phoneme Recognition (Signals and Communication Technology)

GENERAL
AuthorDaniel Vasquez
BindingHardcover
LanguageEnglish
Edition2013
ISBN-103642344240
ISBN-139783642344244
PublisherSpringer
Publication Date2012
DIMENSIONS
Height6.3 inch.
Length0.6 inch.
Width9.2 inch.
Weight0.85 pounds.

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