On End-to-end Multi-channel Time Domain Speech Separation in Reverberant
Environments

On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments

11 November 2020

Jon Barker

Papers citing "On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments"

9 / 9 papers shown

Title
On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement Tsun-An Hsieh Jacob Donley Daniel D. E. Wong Buye Xu Ashutosh Pandey 30 2 0 15 Jan 2024
Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement Ashutosh Pandey Buye Xu 42 1 0 15 Jan 2024
Towards Unified All-Neural Beamforming for Time and Frequency Domain Speech Separation Rongzhi Gu Shi-Xiong Zhang Yuexian Zou Dong Yu AI4TS 22 24 0 16 Dec 2022
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation Zhongqiu Wang Samuele Cornell Shukjae Choi Younglo Lee Byeonghak Kim Shinji Watanabe 38 121 0 22 Nov 2022
Heterogeneous Separation Consistency Training for Adaptation of Unsupervised Speech Separation Jiangyu Han Yanhua Long 28 6 0 23 Apr 2022
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation William Ravenscroft Stefan Goetze Thomas Hain 11 8 0 13 Apr 2022
Block-Online Guided Source Separation Shota Horiguchi Yusuke Fujita Kenji Nagamatsu 25 4 0 16 Nov 2020
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation Zhong-Qiu Wang Peidong Wang DeLiang Wang 33 88 0 04 Oct 2020
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation Yuichiro Koyama Oluwafemi Azeez Bhiksha Raj 27 4 0 23 May 2020