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Estimating Cepstrum of Speech Under the Presence of Noise Using a Joint Prior of Static and Dynamic Features

机译：利用静态和动态特征联合估计噪声环境下的语音倒谱

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Li Deng; Senior Member; Alex Acero;
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年度 2015
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1. Estimating cepstrum of speech under the presence of noise using a joint prior of static and dynamic features [J] . Li Deng, Droppo J., Acero A. IEEE Transactions on Speech and Audio Proceessing . 2004,第3期

机译：使用静态和动态特征的联合先验估计存在噪声时的语音倒谱
2. Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty [J] . Mojtaba Bahrami, Neda Faraji International journal of speech technology . 2021,第1期

机译：威布尔语音Priors和语音存在不确定性的添加剂噪声语音增强的最小均方误差估计
3. 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
4. Towards a Speech Enhancement De-noising Algorithm Based on Cepstrum Smoothing Prior SNR Estimation [C] . Jie Yang International Conference on Computational Intelligence and Applications . 2016

机译：基于倒谱平滑先验SNR估计的语音增强去噪算法
5. Local feature extraction for robust speech recognition in the presence of noise. [D] . Tufekci, Zekeriya. 2001

机译：局部特征提取可在存在噪声的情况下实现强大的语音识别。
6. Discrimination of Static and Dynamic Spectral Patterns by Children and Young Adults in Relationship to Speech Perception in Noise [O] . Hanin Rayes, Stanley Sheft, Valeriy Shafiro 2014

机译：噪声下语音感知与儿童和年轻人的静态和动态频谱模式的区别
7. Cepstrum–domain model combination based on decomposition of speech and noise for noisy speech recognition [O] . Hong Kook Kim, Richard C. Rose 2002

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
8. Optimum Classification of Voiced Speech, Unvoiced Speech and Silence in the Presence of Noise and Interference. [R] . mcaulay,robert j. -1

机译：浊音的最佳分类，清音和沉默的噪音和干扰的情况下。

Estimating Cepstrum of Speech Under the Presence of Noise Using a Joint Prior of Static and Dynamic Features

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