DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement

15 December 2022

Papers citing "DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement"

10 / 10 papers shown

Title
How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Satvik Venkatesh Philip Coleman Arthur Benilov Simon Brown Selim Sheta Frederic Roskam 27 0 0 02 May 2025
Speech-Declipping Transformer with Complex Spectrogram and Learnerble Temporal Features Younghoo Kwon Jung-Woo Choi 30 2 0 19 Sep 2024
Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues Dayun Choi Jung-Woo Choi 32 0 0 19 Sep 2024
DeFT-Mamba: Universal Multichannel Sound Separation and Polyphonic Audio Classification Dongheon Lee Jung-Woo Choi Mamba 29 1 0 19 Sep 2024
TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information Yiwen Wang Xihong Wu 46 2 0 13 Jun 2024
Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement Ashutosh Pandey Buye Xu 40 1 0 15 Jan 2024
CST-former: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection Yusun Shul Jung-Woo Choi 20 8 0 20 Dec 2023
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation Zhong-Qiu Wang Samuele Cornell Shukjae Choi Younglo Lee Byeonghak Kim Shinji Watanabe 71 96 0 08 Sep 2022
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 59 280 0 28 Jul 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018