|
![]() |
|||
|
||||
OverviewIncorporating 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. Full Product DetailsAuthor: Sakriani Sakti , Konstantin Markov , Satoshi Nakamura , Wolfgang MinkerPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2009 ed. Volume: 42 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.431kg ISBN: 9780387858296ISBN 10: 0387858296 Pages: 196 Publication Date: 19 March 2009 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |