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Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution

机译：使用基于环境嗅探的语音识别解决方案补偿SNR和噪声类型不匹配

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Yongjoo Chung; John HL Hansen;
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年度 2013
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1. Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution [J] . Yongjoo Chung, John HL Hansen EURASIP Journal on Audio, Speech, and Music Processing . 2013,第1期

机译：使用基于环境嗅探的语音识别解决方案补偿SNR和噪声类型不匹配
2. Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution [J] . Yongjoo Chung, John HL Hansen EURASIP journal on audio, speech, and music processing . 2013,第1期

机译：使用基于环境嗅探的语音识别解决方案补偿SNR和噪声类型不匹配
3. Noise robust speech recognition using feature compensation based on polynomial regression of utterance SNR [J] . Xiaodong Cui, Alwan A. IEEE Transactions on Speech and Audio Proceessing . 2005,第6期

机译：基于发声信噪比多项式回归的特征补偿噪声鲁棒语音识别
4. Noise Robust Speech Recognition Based on Noise-Adapted HMMs Using Speech Feature Compensation [C] . Chung Yong-Joo International Conference on Advanced Computer Science Applications and Technologies . 2014

机译：基于语音特征补偿的基于自适应HMM的鲁棒语音识别
5. Compensation for Nonlinear Distortion in Noise for Robust Speech Recognition. [D] . Harvilla, Mark J. 2014

机译：噪声中的非线性失真补偿，用于鲁棒的语音识别。
6. Speech-in-Noise Test results of compensation claimants for noise induced hearing loss in Korean male workers: Words-in-Noise Test (WIN) and quick-Hearing-in-Noise Test (HINT) [O] . Ji Soo Kim, Joong Keun Kwon, Nam Jeong Kim, 2021

机译：韩国男性工人噪声引起的噪声诱导损失的噪音索赔人的语音测试结果：单词 - 噪声测试（WIN）和快速听音 - 噪音测试（提示）
7. Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition [O] . John H. L. Hansen 1996

机译：应力和噪声下语音对语音识别环境鲁棒性的分析与补偿
8. Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment. [R] . Hansen, J. H. 2015

机译：强大的语音处理和识别：说话者ID，语言ID，语音识别/关键字识别，Diarization / Co-Channel /环境表征，说话者状态评估。

Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution

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