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.
Incorporating Knowledge Sources into Statistical Speech Recognition Ebook
By: Sakriani Sakti; Konstantin Markov; Satoshi Nakamura; Wolfgang Minker
Publisher:
Springer
Print ISBN: 9780387858296, 0387858296
eText ISBN: 9780387858302, 038785830X
Copyright year: 2009
Format: PDF
Available from $ 149.00 USD
SKU: 9780387858302
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