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科研机构
自动化研究所 [7]
内容类型
期刊论文 [7]
发表日期
2023 [1]
2022 [1]
2021 [2]
2020 [2]
2004 [1]
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内容类型:期刊论文
专题:自动化研究所
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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
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:18/0
  |  
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
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
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  |  
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
Suppression of additive noise using a power spectral density MMSE estimator
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2004, 卷号: 11, 期号: 6, 页码: 585-588
作者:
Ding, GH
;
Huang, T
;
Xu, B
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  |  
浏览/下载:14/0
  |  
提交时间:2015/11/06
exponential distribution.
Gaussian distribution
minimum mean-square error (MMSE)
power spectral density (PSD)
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