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Synopsis
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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The authors address the problem of developing efficient automatic speech recognition systems that maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training manageable and improving speech recognition performance.
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Incorporating Knowledge Sources Into Statistical Speech Recognition (lecture Notes In Electrical Engineering)
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Incorporating Knowledge Sources Into Statistical Speech Recognition (lecture Notes In Electrical Engineering)
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Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42)
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Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42)
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Incorporating Knowledge Sources into Statistical Speech Recognition
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Incorporating Knowledge Sources into Statistical Speech Recognition
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Springer, 2009
ISBN 10 : 0387858296
ISBN 13 : 9780387858296
Ancien ou d'occasion
Couverture rigide
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Incorporating Knowledge Sources into Statistical Speech Recognition (Hardcover)
Edité par
Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10 : 0387858296
ISBN 13 : 9780387858296
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Hardcover. Etat : new. Hardcover. 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780387858296
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