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Training Log-Linear Acoustic Models in Higher-Order Polynomial Feature Space for Speech Recognition

机译：在高阶多项式特征空间中训练对数线性声学模型以进行语音识别

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Tahir Muhammad Ali; Huang Heyun; Schlüter Ralf; Ney Hermann; ten Bosch Louis; Cranen Bert; Boves Lou;
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年度 2013
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正文语种 eng
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1. Acoustic Model Training Using Pseudo-Speaker Features Generated by MLLR Transformations for Robust Speaker-Independent Speech Recognition [J] . Arata ITOH, Sunao HARA, Norihide KITAOKA, IEICE transactions on information and systems . 2012,第10期

机译：使用由MLLR转换生成的伪扬声器特征进行声学模型训练，以实现与扬声器无关的可靠语音识别
2. Acoustic Model Training Using Pseudo-Speaker Features Generated by MLLR Transformations for Robust Speaker-Independent Speech Recognition [J] . Arata ITOH, Sunao HARA, Norihide KITAOKA, IEICE Transactions on Information and Systems . 2012,第10期

机译：使用由MLLR转换生成的伪扬声器特征进行声学模型训练，以实现与扬声器无关的可靠语音识别
3. Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies [J] . Cui Xiaodong, Zhang Wei, Finkler Ulrich, IEEE Signal Processing Magazine . 2020,第3期

机译：自动语音识别深神经网络声学模型的分布式训练：当前训练策略的比较
4. Training Log-Linear Acoustic Models in Higher-Order Polynomial Feature Space for Speech Recognition [C] . M. Tahir, H. Huang, R. Schlüter, Conference of the International Speech Communication Association . 2013

机译：训练高阶多项式特征空间的训练对语言识别的数量空间
5. Acoustic modeling and feature selection for speech recognition. [D] . Zheng, Yanli. 2005

机译：用于语音识别的声学建模和特征选择。
6. Speech Recognition and Acoustic Features in Combined Electric and Acoustic Stimulation [O] . Yang-soo Yoon, Yongxin Li, Qian-Jie Fu -1

机译：电声组合刺激中的语音识别和声学特征
7. Training Log-Linear Acoustic Models in Higher-Order Polynomial Feature Space for Speech Recognition [O] . Tahir M., Huang H., Schlüter R., 2013

机译：在高阶多项式特征空间中训练对数线性声学模型以进行语音识别

Training Log-Linear Acoustic Models in Higher-Order Polynomial Feature Space for Speech Recognition

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