Incorporating Knowledge Sources into Statistical Speech Recognition Paperback / softback
by Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker
Part of the Lecture Notes in Electrical Engineering series
Paperback / softback
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:Paperback / softback
- 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:28/10/2010
- Category:
- ISBN:9781441946768
Other Formats
- Hardback from £121.05
- PDF from £110.08
Information
-
Item not Available
- Format:Paperback / softback
- 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:28/10/2010
- Category:
- ISBN:9781441946768
