Incorporating Knowledge Sources into Statistical Speech Recognition Hardback
by Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker
Part of the Lecture Notes in Electrical Engineering series
Hardback
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.
Information
-
Item not Available
- Format:Hardback
- Pages:196 pages, 15 Tables, black and white; 100 Illustrations, black and white; XXIV, 196 p. 100 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:19/03/2009
- Category:
- ISBN:9780387858296
Other Formats
- PDF from £110.08
- Paperback / softback from £95.55
Information
-
Item not Available
- Format:Hardback
- Pages:196 pages, 15 Tables, black and white; 100 Illustrations, black and white; XXIV, 196 p. 100 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:19/03/2009
- Category:
- ISBN:9780387858296
