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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：19/0 \| 提交时间：2022/07/25 Monaural speech enhancement Speech distortion Spectrum mend network SI-SNR BLSTM
	NeuralDPS: Neural Deterministic Plus Stochastic Model With Multiband Excitation for Noise-Controllable Waveform Generation 期刊论文 IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 卷号: 30, 页码: 865-878 作者: Wang, Tao; Fu, Ruibo; Yi, Jiangyan; Tao, Jianhua; Wen, Zhengqi 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/06 Vocoders Stochastic processes Neural networks Speech processing Signal to noise ratio Acoustics Speech enhancement Vocoder speech synthesis deterministic plus stochastic multiband excitation noise control
	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
	Distributed LCMV beamformer design by randomly permuted ADMM 期刊论文 DIGITAL SIGNAL PROCESSING, 2020, 卷号: 106, 页码: 9 作者: Li, Zhibao; Yiu, Ka Fai Cedric; Dai, Yu-Hong; Nordholm, Sven 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/01/14 Distributed LCMV beamformer Speech enhancement Blockwise optimization ADMM Random permutation
	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
	A loss with mixed penalty for speech enhancement generative adversarial network 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Cao, Jie; Zhou, Yaofeng; Yu, Hong; Li, Xiaoxu; Wang, Dan 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Speech enhancement Adversarial networks First-order statistics Least Square Loss functions Objective and subjective evaluations Phase mismatch Speech enhancement methods Vanishing gradient
	Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition 会议论文 Graz, Austria, 2019-9-15 作者: 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/05/15 End-to-end Speech Recognition Robust Speech Recognition Speech Enhancement Generative Adversarial Networks

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