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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 NakamuraPublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 1.20cm , Length: 15.60cm Weight: 0.313kg ISBN: 9780387858821ISBN 10: 0387858822 Pages: 220 Publication Date: 16 March 2009 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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