18 citations · 24 across the 6 of their papers we have counts for
5 papers · 1 filter
Progressive Residual Extraction based Pre-training for Speech Representation Learning
Tianrui Wang, Jin Li, Ziyang Ma +8
Self-supervised learning (SSL) has garnered significant attention in speech processing, excelling in linguistic tasks such as speech recognition. However, jointly improving the per…
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation
Yanjie Fu, Haoran Yin, Meng Ge +5
Recently, many deep learning based beamformers have been proposed for multi-channel speech separation. Nevertheless, most of them rely on extra cues known in advance, such as speak…
L-SpEx: Localized Target Speaker Extraction
Meng Ge, Chenglin Xu, Longbiao Wang +3
Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance. Recent studies show that speaker extraction…
Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals
Meng Ge, Chenglin Xu, Longbiao Wang +3
Speaker extraction requires a sample speech from the target speaker as the reference. However, enrolling a speaker with a long speech is not practical. We propose a speaker extract…
SpEx+: A Complete Time Domain Speaker Extraction Network
Meng Ge, Chenglin Xu, Longbiao Wang +3
Speaker extraction aims to extract the target speech signal from a multi-talker environment given a target speaker's reference speech. We recently proposed a time-domain solution,…