Incorporating Knowledge Sources Into Statistical Speech Recognition

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Incorporating Knowledge Sources into Statistical Speech Recognition

Incorporating Knowledge Sources into Statistical Speech Recognition
Author :
Publisher : Springer Science & Business Media
Total Pages : 207
Release :
ISBN-10 : 9780387858302
ISBN-13 : 038785830X
Rating : 4/5 (30X Downloads)

Book Synopsis Incorporating Knowledge Sources into Statistical Speech Recognition by : Sakriani Sakti

Download or read book Incorporating Knowledge Sources into Statistical Speech Recognition written by Sakriani Sakti and published by Springer Science & Business Media. This book was released on 2009-02-27 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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