activity
20192022
most citedSpEx: Multi-Scale Time Domain Speaker Extraction Network

158 citations · 242 across the 10 of their papers we have counts for

collaborators

11 papers

eess.AS2022

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…

eess.AS20212 cited

Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech

Chenglin Xu, Wei Rao, Jibin Wu +1

Speaker verification has been studied mostly under the single-talker condition. It is adversely affected in the presence of interference speakers. Inspired by the study on target s…

eess.AS20205 cited

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…

eess.AS2020

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…

cs.NE202014 cited

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-…

eess.AS202018 cited

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,…