Incorporating Knowledge Sources into Statistical Speech Recognition
(Sprache: Englisch)
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...
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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.
Klappentext zu „Incorporating Knowledge Sources into Statistical Speech Recognition “
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.
Inhaltsverzeichnis zu „Incorporating Knowledge Sources into Statistical Speech Recognition “
and Book Overview.- Statistical Speech Recognition.- Graphical Framework to Incorporate Knowledge Sources.- Speech Recognition Using GFIKS.- Conclusions and Future Directions.
Bibliographische Angaben
- Autoren: Sakriani Sakti , Konstantin Markov , Satoshi Nakamura , Wolfgang Minker
- 2010, XXIV, 196 Seiten, Maße: 1,5 x 2,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1441946764
- ISBN-13: 9781441946768
Sprache:
Englisch
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