Bayesian Context Clustering Using Cross Validation for Speech Recognition
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概要
- 論文の詳細を見る
This paper proposes Bayesian context clustering using cross validation for hidden Markov model (HMM) based speech recognition. The Bayesian approach is a statistical technique for estimating reliable predictive distributions by treating model parameters as random variables. The variational Bayesian method, which is widely used as an efficient approximation of the Bayesian approach, has been applied to HMM-based speech recognition, and it shows good performance. Moreover, the Bayesian approach can select an appropriate model structure while taking account of the amount of training data. Since prior distributions which represent prior information about model parameters affect estimation of the posterior distributions and selection of model structure (e.g., decision tree based context clustering), the determination of prior distributions is an important problem. However, it has not been thoroughly investigated in speech recognition, and the determination technique of prior distributions has not performed well. The proposed method can determine reliable prior distributions without any tuning parameters and select an appropriate model structure while taking account of the amount of training data. Continuous phoneme recognition experiments show that the proposed method achieved a higher performance than the conventional methods.
- (社)電子情報通信学会の論文
- 2011-03-01
著者
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Zen Heiga
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Hashimoto Kei
Department Of Bioproductive Sciences Utsunomiya University
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Tokuda K
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Tokuda Keiichi
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Hashimoto Kei
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Lee Akinobu
Department Of Computer Science Nagoya Institute Of Technology
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Lee Akinobu
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Nankaku Yoshihiko
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Tokuda Keiichi
Department Of Computer Science Naogya Institute Of Technology
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Zen Heiga
Department Of Computer Science Naogya Institute Of Technology
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HASHIMOTO Kei
Department of Applied Biological Chemistry, Utsunomiya University
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