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Model Adaptation based on HMM decomposition for Reverberant Speech Recognition

机译：基于HMM分解的模型自适应混响语音识别。

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ICASSP1997: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 21-24, 1997.

机译：ICASSP1997：IEEE国际声学，语音和信号处理会议，1997年4月21日至24日。

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Tetsuya Takiguchi; Satoshi Nakamura; Qiang Huo; Kiyohiro Shikano;
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年度 1997
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2. Rapid Environment Adaptation Method Based on HMM Composition with Prior Noise GMM and Multi-SNR Models for Noisy Speech Recognition [J] . Masaki Ida, Satoshi Nakamura Electronics and Communications in Japan. Part 2, Electronics . 2004,第6期

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3. A Rapid Model Adaptation Technique for Emotional Speech Recognition with Style Estimation Based on Multiple-Regression HMM [J] . Yusuke IJIMA, Takashi NOSE, Makoto TACHIBANA, IEICE transactions on information and systems . 2010,第1期

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4. Model adaptation based on HMM decomposition for reverberant speech recognition [C] . Takiguchi, T., Nakamura, . 1997

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5. HMM-based non-intrusive speech quality and implementation of Viterbi score distribution and hiddenness based measures to improve the performance of speech recognition [D] . Talwar, Gaurav 2006

机译：基于HMM的非侵入式语音质量以及基于Viterbi分数分布和隐蔽性的措施的实施，以提高语音识别的性能
6. Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition [O] . Myungjong Kim, Younggwan Kim, Joohong Yoo, -1

机译：KL-HMM的正则化说话人适应用于音调异常语音识别
7. Model Adaptation Based On HMM Decomposition For Reverberant Speech Recognition [O] . Tetsuya Takiguchi, Satoshi Nakamura, Qiang Huo, 1997

机译：基于HMM分解的混响语音识别模型。

Model Adaptation based on HMM decomposition for Reverberant Speech Recognition

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