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Science/Engineering Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering)

Posted on 2010-03-16




Name:Science/Engineering Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering)
ASIN/ISBN:0387858296
Language:English
File size:10.52 Mb
ISBN: 0387858296
Publish Date: March 20, 2009
File Type: PDF (OCR)
Pages: 196 pages
File Size: 1977 KB
Other Info: Springer
   Science/Engineering Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering)



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Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering): 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 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.

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