Incorporating knowledge sources into statistical speech recognition
Author(s)
Bibliographic Information
Incorporating knowledge sources into statistical speech recognition
（Lecture notes in electrical engineering, 42）
Springer, c2010
- : [pbk.]
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Note
Includes bibliographical references (p. [175]-187) and index
Description and Table of Contents
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.
Table of Contents
and Book Overview.- Statistical Speech Recognition.- Graphical Framework to Incorporate Knowledge Sources.- Speech Recognition Using GFIKS.- Conclusions and Future Directions.
by "Nielsen BookData"