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Cepstrum–domain model combination based on decomposition of speech and noise for noisy speech recognition

机译：基于语音和噪声分解的倒谱域模型组合，用于噪声语音识别

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Hong Kook Kim; Richard C. Rose;
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年度 2002
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专利

1. Cepstrum-Domain Model Combination Based on Decomposition of Speech and Noise Using MMSE-LSA for ASR in Noisy Environments [J] . Hong Kook KimRose R.C. Audio, Speech, and Language Processing, IEEE Transactions on . 2009,第4期

机译：MMSE-LSA在语音环境中基于语音和噪声分解的倒谱域模型组合
2. Cepstrum-domain acoustic feature compensation based on decomposition of speech and noise for ASR in noisy environments [J] . Hong Kook Kim, Rose R.C. IEEE Transactions on Speech and Audio Proceessing . 2003,第5期

机译：在嘈杂环境中基于语音和噪声分解的倒谱域声学特征补偿
3. Combination of GMM-Based Speech Estimation Method and Temporal Domain SVD-Based Speech Enhancement for Noise Robust Speech Recognition [J] . Masakiyo Fujimoto, Yasuo Ariki Systems and Computers in Japan . 2007,第3期

机译：基于GMM的语音估计方法与基于时域SVD的语音增强相结合的噪声鲁棒语音识别
4. Cepstrum-domain model combination based on decomposition of speech and noise for noisy speech recognition [C] . Hong Kook Kim, Rose, R.C. . 2002

机译：基于语音和噪声分解的倒谱域模型组合用于嘈杂语音识别
5. Speech Periodicity Enhancement Based on Transform-domain Signal Decomposition and Robust Pitch Estimation. [D] . Huang, Feng. 2012

机译：基于变换域信号分解和鲁棒基音估计的语音周期性增强。
6. Relating hearing loss and executive functions to hearing aid users preference for and speech recognition with different combinations of binaural noise reduction and microphone directionality [O] . Tobias Neher 2014

机译：将听力损失和执行功能与助听器用户对双耳降噪和麦克风指向性的不同组合的偏爱和语音识别相关联
7. A Trajectory-based Parallel Model Combination with a Unified Static and Dynamic Parameter Compensation For Noisy Speech Recognition [O] . Khe Chai Sim, Minh-thang Luong 2015

机译：基于轨迹的并行模型组合与统一静态和动态参数补偿的带噪语音识别
8. Auditory Modeling for Noisy Speech Recognition [R] . 2000

机译：噪声语音识别的听觉建模

Cepstrum–domain model combination based on decomposition of speech and noise for noisy speech recognition

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