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| ISBN: | 9780387858302 |
|---|---|
| Formato: | Page Fidelity |
| Idioma: | Inglés |
| Editorial: | Springer Nature |
| Tema: | Tecnología e ingeniería |
| Subtema: | Eléctrica |
| Año de publicación: | 2009-02-27 |
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.