activity
20122023
most citedSpEx: Multi-Scale Time Domain Speaker Extraction Network

158 citations · 241 across the 23 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.SD2020★ 1 cited

Adversarial Training for Multi-domain Speaker Recognition

Qing Wang, Wei Rao, Pengcheng Guo +1

In real-life applications, the performance of speaker recognition systems always degrades when there is a mismatch between training and evaluation data. Many domain adaptation meth…

eess.AS2020★ 1 cited

HLT-NUS Submission for NIST 2019 Multimedia Speaker Recognition Evaluation

Rohan Kumar Das, Ruijie Tao, Jichen Yang +3

This work describes the speaker verification system developed by Human Language Technology Laboratory, National University of Singapore (HLT-NUS) for 2019 NIST Multimedia Speaker R…

eess.AS2020★ 3 cited

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge

Xiaoyi Qin, Ming Li, Hui Bu +4

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speak…

eess.AS2020★ 36 cited

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…

eess.AS2020★ 158 cited

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…

cs.SD2020★ 8 cited

The FFSVC 2020 Evaluation Plan

Xiaoyi Qin, Ming Li, Hui Bu +4

The Far-Field Speaker Verification Challenge 2020 (FFSVC20) is designed to boost the speaker verification research with special focus on far-field distributed microphone arrays und…