Incorporating Knowledge Sources into Statistical Speech Recognition
1st Edition
Published on 27. February 2009
XXIV, 196 pages
978-0-387-85830-2 (ISBN)
Description
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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Sakriani Sakti | Konstantin Markov | Satoshi Nakamura
Incorporating Knowledge Sources into Statistical Speech Recognition
Book
03/2009
Springer
€164.50
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Content
and Book Overview.- Statistical Speech Recognition.- Graphical Framework to Incorporate Knowledge Sources.- Speech Recognition Using GFIKS.- Conclusions and Future Directions.
