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清华大学 [22]

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	Two-stage deep spectrum fusion for noise-robust end-to-end speech recognition 期刊论文 APPLIED ACOUSTICS, 2023, 卷号: 212, 页码: 10 作者: Fan, Cunhang; Ding, Mingming; Yi, Jiangyan; Li, Jinpeng; Lv, Zhao 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/16 Robust end-to-end ASR Speech enhancement Masking and mapping Speech distortion Deep spectrum fusion
	SpecMNet: Spectrum mend network for monaural speech enhancement 期刊论文 APPLIED ACOUSTICS, 2022, 卷号: 194, 页码: 9 作者: Fan, Cunhang; Zhang, Hongmei; Yi, Jiangyan; Lv, Zhao; Tao, Jianhua 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/07/25 Monaural speech enhancement Speech distortion Spectrum mend network SI-SNR BLSTM
	面向鸡尾酒会问题的视觉辅助语音分离算法研究学位论文中国科学院自动化研究所: 中国科学院自动化研究所, 2021 作者: 张鹏收藏 \| 浏览/下载：52/0 \| 提交时间：2021/06/21 鸡尾酒会问题语音分离视觉辅助在线流式处理生成对抗训练
	Exploiting the directional coherence function for multichannel source extraction 期刊论文 SPEECH COMMUNICATION, 2021, 卷号: 128, 页码: 1-14 作者: Liang, Shan; Li, Guanjun; Nie, Shuai; Yang, ZhanLei; Liu, WenJu 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/05/06 Directional coherence function Coherent-to-Diffuse Ratio General sidelobe canceller Desired Speech Presence Probability
	Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition 期刊论文 IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 期号: 29, 页码: 198-209 作者: Fan, Cunhang; Yi, Jiangyan; Tao, Jianhua; Tian, Zhengkun; Liu, Bin 收藏 \| 浏览/下载：27/0 \| 提交时间：2021/03/08 Speech enhancement Speech recognition Training Noise measurement Logic gates Acoustic distortion Task analysis Gated recurrent fusion robust end-to-end speech recognition speech distortion speech enhancement speech transformer
	Speech enhancement method based on SI-SDR optimization generative adver-sarial network 期刊论文 Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 卷号: 48, 期号: 11, 页码: 17-23 作者: Cao, Jie; Zhou, Yaofeng; Yu, Hong; Li, Xiaoxu 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/02/17 Signal to noise ratio Speech enhancement Adversarial networks Auditory quality Baseline methods Difference values Low signal-to-noise ratio Scale invariant Signal-to-distortion ratios Speech enhancement methods
	Improving speech enhancement by focusing on smaller values using relative loss 期刊论文 IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384 作者: Li, Hongfeng; Xu, Yanyan; Ke, Dengfeng; Su, Kaile 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/09/07 speech enhancement speech intelligibility performance evaluation learning (artificial intelligence) neural nets absolute differences speech quality relative loss single-channel speech enhancement noisy speech ideal ratio mask phase-sensitive mask mean square error loss function absolute error values magnitude spectra deep learning clean speech recovery short-time objective intelligibility signal-to-distortion ratio segmental signal-to-noise ratio performance evaluation
	End-to-End Post-Filter for Speech Separation With Deep Attention Fusion Features 期刊论文 IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2020, 卷号: 28, 期号: 28, 页码: 1303-1314 作者: Fan, Cunhang; Tao, Jianhua; Liu, Bin; Yi, Jiangyan; Wen, Zhengqi 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/06/22 Feature extraction Training Interference Speech enhancement Clustering algorithms Spectrogram Speech separation end-to-end post-filter deep attention fusion features deep clustering permutation invariant training
	Modeling of Individual HRTFs Based on Spatial Principal Component Analysis 期刊论文 IEEE/ACM Transactions on Audio Speech and Language Processing, 2020, 卷号: 28, 页码: 785-797 作者: Zhang, Mengfan; Ge, Zhongshu; Liu TJ(刘铁军); Wu XH(吴玺宏); Qu TS(曲天书) 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/03/01 Anthropometric parameters HRTF individual SPCA
	Replay attack detection based on distortion by loudspeaker for voice authentication 期刊论文 MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 7, 页码: 8383-8396 作者: Ren, Yanzhen; Fang, Zhong; Liu, Dengkai; Chen, Changwen 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/08/16 Automatic Speaker Verification (ASV) Replay Attack Detection (RAD) Loudspeaker Low-frequency attenuation Spoofing attack

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