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Titlebook: Computational Models of Speech Pattern Processing; Keith Ponting Book 1999 Springer-Verlag Berlin Heidelberg 1999 Dialogue systems.Human s

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An Overview of Computing at Los Alamoses have been proposed for resolving this mismatch problem. These approaches can be divided broadly into three classes: model adaptation, channel adaptation and robust features. This paper presents a review and discussion of methods for channel adaptation and their relationship to methods in the other classes.
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Trajectory Representations and Acoustic Descriptions for a Segment-Modelling Approach to Automatic lating segment probabilities using an approach which is different from that used in earlier studies (e.g. [4]), and is more consistent with the idea of treating the trajectory as unobserved. In parallel, experiments have demonstrated that formant features can be useful for HMM-based automatic speech recognition [3].
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D. Barkai,K. J. M. Moriarty,C. Rebbispeech quality by adding natural characteristics of voice individuality, and converting synthesized voice individuality from one speaker to another, are as yet little exploited research fields to be studied in the near future.
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Supercomputing Facilities for the 1990slating segment probabilities using an approach which is different from that used in earlier studies (e.g. [4]), and is more consistent with the idea of treating the trajectory as unobserved. In parallel, experiments have demonstrated that formant features can be useful for HMM-based automatic speech recognition [3].
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