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Adaptation of Model Parameters by HMM Decomposition in Noisy Reverberant Environments

机译：嘈杂混响环境中HMM分解对模型参数的适应

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摘要

ESCA-NATO Workshop on Robust Speech Recognition for Unknown Communication Channels, April 17-18, 1997, Pont-a-Mousson, France.

机译：ESCA-NATO关于未知通信信道的可靠语音识别的研讨会，1997年4月17日至18日，法国蓬塔穆森。

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Tetsuya Takiguchi; Satoshi Nakamura; Qiang Huo; Kiyohiro Shikano;
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年度 1997
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1. Model Adaptation by HMM Decomposition and Composition in Noisy Reverberant Environments [J] . Tetsuya Takiguchi, Satoshi Nakamura, Kiyohiro Shikano Systems and Computers in Japan . 2000,第5期

机译：嘈杂混响环境中HMM分解与合成的模型自适应
2. Improving Rapid Unsupervised Speaker Adaptation Based on HMM-Sufficient Statistics in Noisy Environments Using Multi-Template Models [J] . Randy GOMEZ, Akinobu LEE, Tomoki TODA, IEICE Transactions on Information and Systems . 2006,第3期

机译：使用多模板模型在嘈杂环境中提高基于HMM足够统计量的快速无监督说话人适应
3. 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

机译：基于先验噪声GMM和Multi-SNR模型的HMM组合的快速环境自适应方法
4. Experiments of speech recognition in a noisy and reverberant environment using a microphone array and HMM adaptation [C] . Giuliani, D., Omologo, . 1996

机译：使用麦克风阵列和HMM自适应在嘈杂和混响环境中进行语音识别的实验
5. Audio signal classification in reverberant and noisy environments [D] . Abu-El-Quran, Ahmad Rami 2009

机译：混响和嘈杂环境中的音频信号分类
6. A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions [O] . Yan Zhao, DeLiang Wang, Eric M. Johnson, -1

机译：一种基于深度学习的分离算法可在混响嘈杂的情况下提高听力障碍听众的语音清晰度
7. Experiments Of Speech Recognition In A Noisy And Reverberant Environment Using A Microphone Array And HMM Adaptation [O] . D. Giuliani, M. Omologo, P. Svaizer 1996

机译：利用麦克风阵列和Hmm自适应在噪声和混响环境下进行语音识别的实验

Adaptation of Model Parameters by HMM Decomposition in Noisy Reverberant Environments

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