Incorporating Knowledge Sources into Statistical Speech Recognition
| Autor: | Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker |
|---|---|
| EAN: | 9780387858302 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 27.02.2009 |
| Kategorie: | |
| Schlagworte: | Acoustic Modeling Automatic Speech Recognition Bayesian Network Junction Tree Knowledge Source Incoporation Wide-Context Dependency cognition proving 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.
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