Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Lianwu Chen"'
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c57b92bba7e0e8bf3f95c703194b222
https://doi.org/10.21437/interspeech.2022-11295
https://doi.org/10.21437/interspeech.2022-11295
Autor:
Haoran Zhao, Nan Li, Runqiang Han, Lianwu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f58319de05626125fec1645f46a5818
https://doi.org/10.1109/icassp43922.2022.9746272
https://doi.org/10.1109/icassp43922.2022.9746272
Autor:
Lianwu Chen, Chenglin Xu, Xu Zhang, Xinlei Ren, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c1d9a03660f74ef4408371a521cb1e0
https://doi.org/10.1109/icassp43922.2022.9746981
https://doi.org/10.1109/icassp43922.2022.9746981
Autor:
Xinlei Ren, Zhang Chen, Chenglin Xu, Zheng Xiguang, Liang Guo, Bing Yu, Lianwu Chen, Zhang Xu
Publikováno v:
MLSP
Multi-channel speech enhancement is gaining increasing interest in recent years. By combining the beamforming framework with the deep neural network, significant improvement on speech enhancement performance has been achieved. While the neural beamfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b4b04b90677f37dbcb1659853e2ff5c
https://doi.org/10.1109/mlsp52302.2021.9596418
https://doi.org/10.1109/mlsp52302.2021.9596418
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ff8a872cbaf00f780dbb434e6d696ce
https://doi.org/10.21437/interspeech.2021-1457
https://doi.org/10.21437/interspeech.2021-1457
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72265ce4a3d35e5b75313a88c3cb0e21
https://doi.org/10.21437/interspeech.2021-1410
https://doi.org/10.21437/interspeech.2021-1410
Autor:
Bo Wu, Lianwu Chen, Shi-Xiong Zhang, Jianwei Yu, Dan Su, Yong Xu, Helin Wang, Dong Yu, Chao Weng, Meng Yu
In this paper, we exploit the effective way to leverage contextual information to improve the speech dereverberation performance in real-world reverberant environments. We propose a temporal-contextual attention approach on the deep neural network (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::483af055ba3709afae698b05f5a04f7a
http://arxiv.org/abs/2103.16849
http://arxiv.org/abs/2103.16849
Publikováno v:
SLT
This paper proposes a new joint optimization framework for simultaneous dereverberation, acoustic echo cancellation, and denoising, which is motivated by the recently proposed con-volutional beamformer for simultaneous denoising and dereverberation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8b7c9c6ecfd95f54e8c78e895ef30e
https://doi.org/10.1109/slt48900.2021.9383519
https://doi.org/10.1109/slt48900.2021.9383519
Autor:
Helen Meng, Dong Yu, Rongzhi Gu, Xunying Liu, Meng Yu, Bo Wu, Lianwu Chen, Yong Xu, Shi-Xiong Zhang, Jianwei Yu, Dan Su
Publikováno v:
INTERSPEECH
Automatic speech recognition (ASR) of overlapped speech remains a highly challenging task to date. To this end, multi-channel microphone array data are widely used in state-of-the-art ASR systems. Motivated by the invariance of visual modality to aco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6ed756ac185971e6251d185dc5c5af8
https://doi.org/10.21437/interspeech.2020-2346
https://doi.org/10.21437/interspeech.2020-2346
Publikováno v:
INTERSPEECH
Purely neural network (NN) based speech separation and enhancement methods, although can achieve good objective scores, inevitably cause nonlinear speech distortions that are harmful for the automatic speech recognition (ASR). On the other hand, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d714cfba298474c2692891ee03465f0
https://doi.org/10.21437/interspeech.2020-1458
https://doi.org/10.21437/interspeech.2020-1458