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Robust automatic speech recognition using acoustic model adaptation prior to missing feature reconstruction

机译：在缺失特征重建之前使用声学模型自适应进行鲁棒的自动语音识别

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Kurimo M.; Palomaki Kalle; Remes Ulpu;
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年度 2009
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1. MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition [J] . Gonzalez J. A., Peinado A. M., Ma N., Audio, Speech, and Language Processing, IEEE Transactions on . 2013,第3期

机译：基于MMSE的缺失特征重建与时间建模，用于鲁棒语音识别
2. Reconstruction of missing features by means of multivariate Laplace distribution (MLD) for noise robust speech recognition [J] . Arash Mohammadi, Farshad Almasganj Expert Systems with Application . 2011,第4期

机译：借助多变量Laplace分布（MLD）重建缺失特征以增强噪声鲁棒性语音识别
3. Time–Frequency Correlation-Based Missing-Feature Reconstruction for Robust Speech Recognition in Band-Restricted Conditions [J] . Kim W., Hansen J. H. L. Audio, Speech, and Language Processing, IEEE Transactions on . 2009,第7期

机译：基于时频相关的丢失特征重建在频带受限条件下的鲁棒语音识别
4. ROBUST AUTOMATIC SPEECH RECOGNITION USING ACOUSTIC MODEL ADAPTATION PRIOR TO MISSING FEATURE RECONSTRUCTION [C] . Ulpu Remes, Kalle J. Palomaeki, Mikko Kurimo European signal processing conference;EUSIPCO 2009 . 2010

机译：在缺少特征重构之前使用声学模型自适应进行鲁棒的自动语音识别
5. Acoustic model and adaptation for automatic speech recognition and animal vocalization classification. [D] . Tao, Jidong. 2009

机译：自动语音识别和动物发声分类的声学模型和自适应。
6. Automatic speech recognition using articulatory features from subject-independent acoustic-to-articulatory inversion [O] . Prasanta Kumar Ghosh, Shrikanth Narayanan -1

机译：使用从独立于受试者的声学到发音反转的发音特征进行自动语音识别
7. Missing feature reconstruction and acoustic model adaptation combined for large vocabulary continuous speech recognition [O] . Kurimo M., Palomaki Kalle, Remes Ulpu 2008

机译：缺失特征重建与声学模型自适应相结合，用于大词汇量连续语音识别

Robust automatic speech recognition using acoustic model adaptation prior to missing feature reconstruction

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