158 citations · 249 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
Muse: Multi-modal target speaker extraction with visual cues
Zexu Pan, Ruijie Tao, Chenglin Xu +1
Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention. Such a reference speech is typically pre-recorded. O…
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu, Chenglin Xu, Daquan Zhou +2
Spiking neural networks (SNNs) have shown clear advantages over traditional artificial neural networks (ANNs) for low latency and high computational efficiency, due to their event-…
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,…
Time-domain speaker extraction network
Chenglin Xu, Wei Rao, Eng Siong Chng +1
Speaker extraction is to extract a target speaker's voice from multi-talker speech. It simulates humans' cocktail party effect or the selective listening ability. The prior work mo…
SpEx: Multi-Scale Time Domain Speaker Extraction Network
Chenglin Xu, Wei Rao, Eng Siong Chng +1
Speaker extraction aims to mimic humans' selective auditory attention by extracting a target speaker's voice from a multi-talker environment. It is common to perform the extraction…