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Incorporating Knowledge Sources Into Statistical Speech Recognition
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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.
Publisher Name | Springer |
---|---|
Author Name | Hagendorf, Col |
Format | Audio |
Bisac Subject Major | SCI |
Language | NG |
Isbn 10 | 1441946764 |
Isbn 13 | 9781441946768 |
Target Age Group | min:NA, max:NA |
Series | 00036734042 |
Dimensions | 00.92" H x 10.06" L x 14.00" W |
Page Count | 196 |
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