Incorporating Knowledge Sources into Statistical Speech Recognition

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.

List of contents

and Book Overview.- Statistical Speech Recognition.- Graphical Framework to Incorporate Knowledge Sources.- Speech Recognition Using GFIKS.- Conclusions and Future Directions.

Summary

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.

Product details

• Authors: Konstanti Markov, Konstantin Markov, Wolfgang Minker, Satos Nakamura, Satoshi Nakamura, Sakrian Sakti, Sakriani Sakti
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 11.04.2011
• EAN: 9781441946768
• ISBN: 978-1-4419-4676-8
• No. of pages: 196
• Weight: 337 g
• Illustrations: XXIV, 196 p. 100 illus.
• Series: Lecture Notes in Electrical Engineering; Lecture Notes in Electrical Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; C, Acoustics, engineering, Electrical Engineering, Electrical and Electronic Engineering, Computer Communication Networks, Signal, Image and Speech Processing, Communications Engineering, Networks, Signal Processing, Speech processing systems, Digital and Analog Signal Processing, Image processing, Wave mechanics (vibration & acoustics), Communications engineering / telecommunications, Computer communication systems, Network hardware