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Speech Enhancement based on the Dominant Classification Between Speech and Noise Using Feature Data in Spectrogram of Observation Signal

机译：使用特征数据在观察信号中的谱图中的语音和噪声之间的主导分类，语音增强

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作者
Yukihiro Nomura; Jianming Lu; Hiroo Sekiya; Takashi Yahagi;
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年度 2004
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专利

1. Speech Enhancement Based On Speech/Noise-Dominant Decision [J] . Sukhyun Yoon, Chang D. Yoo IEICE Transactions on Information and Systems . 2002,第4期

机译：基于语音/噪声主导决策的语音增强
2. Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals [J] . Medical hypotheses . 2020,第期

机译：帕金森病用一个对阵所有基于数据采样的帕金森病分类，具有来自语音信号的声学特征
3. A Statistical Model-Based Speech Enhancement Using Acoustic Noise Classification for Robust Speech Communication [J] . Jae-Hun CHOI, Joon-Hyuk CHANG IEICE Transactions on Communications . 2012,第7期

机译：基于统计模型的语音增强，使用噪声分类进行鲁棒的语音通信
4. Quantile based speech/noise-dominant decision for wavelet based speech enhancement [C] . Nomura Y., Jianming Lu, Sekiya H., IEEE-Eurasip Nonlinear Signal and Image Processing . 2005

机译：基于定量的基于小波的语音增强的语音/噪声主导决策
5. THE EXTRACTION OF FEATURES FROM A SPEECH SIGNAL CORRUPTED BY ADDITIVE NOISE AND THEIR USE FOR SPEECH ENHANCEMENT. [D] . WALICKI, JACEK STANISLAW. 1981

机译：从具有附加噪声的语音信号中提取特征，并将其用于语音增强。
6. Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals [O] . Hariharan Muthusamy, Kemal Polat, Sazali Yaacob -1

机译：基于粒子群优化的特征增强和特征选择用于语音和声门信号中的情感识别
7. Exemplar-based noise robust automatic speech recognition using modulation spectrogram features [O] . Baby Deepak, Virtanen Tuomas, Gemmeke Jort, 2014

机译：使用调制频谱图功能的基于样本的噪声鲁棒自动语音识别

Speech Enhancement based on the Dominant Classification Between Speech and Noise Using Feature Data in Spectrogram of Observation Signal

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