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Comparing Jacobian adaptation with cepstral mean normalization and parallel model combination for noise robust speech recognition

机译：将Jacobian自适应与倒谱均值归一化和并行模型组合进行比较，以实现噪声鲁棒的语音识别

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《》|2002年|P.193-196|共4页
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Airssinen; K.; Salmela; P.; Harju; M.;
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中图分类无线电电子学、电信技术;
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1. Noise-robust speech recognition by discriminative adaptation in parallel model combination [J] . Yong-Joo Chung Electronics Letters . 2000,第4期

机译：并行模型组合中判别自适应的鲁棒语音识别
2. The integration of principal component analysis and cepstral mean subtraction in parallel model combination for robust speech recognition [J] . Veisi H., Sameti H. Digital Signal Processing . 2011,第1期

机译：并行模型组合中主成分分析和倒谱均值减法的集成，可实现鲁棒的语音识别
3. Incorporating Codebook and Utterance Information in Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments [J] . Jeih-weih HungWen-hsiang Tu Signal Processing Letters, IEEE . 2009,第6期

机译：在倒数统计归一化技术中整合密码本和话语信息，以在加性噪声环境中实现可靠的语音识别
4. Comparing Jacobian adaptation with cepstral mean normalization and parallel model combination for noise robust speech recognition [C] . Parssinen, K., Salmela, . 2002

机译：将Jacobian自适应与倒谱均值归一化和并行模型组合进行比较，以实现噪声鲁棒的语音识别
5. The modified-mean cepstral mean normalization (MMCMN) method for channel-robust automatic speaker recognition. [D] . Garcia, Alvin A. 2002

机译：改进的均值倒谱均值归一化（MMCMN）方法用于声道鲁棒性自动说话人识别。
6. Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data [O] . Ayesha Pervaiz, Fawad Hussain, Huma Israr, 2020

机译：通过训练数据的噪声增强将噪声鲁棒性纳入语音命令识别中
7. Robust Speech Recognition by Model Adaptation and Normalization Using Pre-Observed Noise [O] . S. KOBASHIKAWA, S. TAKAHASHI 2008

机译：通过预观察噪声模型适应和标准化的强大语音识别

Comparing Jacobian adaptation with cepstral mean normalization and parallel model combination for noise robust speech recognition

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