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, c2009
Available at 2 libraries
Note
Includes bibliographical references 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"