Incorporating Knowledge Sources into Statistical Speech Recognition

Incorporating Knowledge Sources into Statistical Speech Recognition

by Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker
     
 

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an

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Overview

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.

Product Details

ISBN-13:
9781441946768
Publisher:
Springer US
Publication date:
11/05/2010
Series:
Lecture Notes in Electrical Engineering Series, #42
Edition description:
Softcover reprint of hardcover 1st ed. 2009
Pages:
196
Product dimensions:
0.46(w) x 6.14(h) x 9.21(d)

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