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SceneFake: An initial dataset and benchmarks for scene fake audio detection
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 152, 页码: 12
作者:
Yi, Jiangyan
;
Wang, Chenglong
;
Tao, Jianhua
;
Zhang, Chu Yuan
;
Fan, Cunhang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/07/04
Scene manipulation
Fake audio detection
Speech enhancement
SceneFake dateset
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:3/0
  |  
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:21/0
  |  
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:28/0
  |  
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:17/0
  |  
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:15/0
  |  
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:23/0
  |  
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:17/0
  |  
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
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