activity
20192022
most citedCN-CELEB: a challenging Chinese speaker recognition dataset

13 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD20221 cited

Spoofing-Aware Speaker Verification by Multi-Level Fusion

Haibin Wu, Lingwei Meng, Jiawen Kang +5

Recently, many novel techniques have been introduced to deal with spoofing attacks, and achieve promising countermeasure (CM) performances. However, these works only take the stand…

cs.HC2022

TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening

Zijian Ding, Jiawen Kang, Tinky Oi Ting HO +4

Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in screening for neurocognitive disorders among older adults. It is important, therefore,…

eess.AS2022

The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

Naijun Zheng, Na Li, Xixin Wu +6

This paper describes our speaker diarization system submitted to the Multi-channel Multi-party Meeting Transcription (M2MeT) challenge, where Mandarin meeting data were recorded in…

cs.SD2020

Squeezing value of cross-domain labels: a decoupled scoring approach for speaker verification

Lantian Li, Yang Zhang, Jiawen Kang +2

Domain mismatch often occurs in real applications and causes serious performance reduction on speaker verification systems. The common wisdom is to collect cross-domain data and tr…

eess.AS20203 cited

Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning

Jiawen Kang, Ruiqi Liu, Lantian Li +3

Domain generalization remains a critical problem for speaker recognition, even with the state-of-the-art architectures based on deep neural nets. For example, a model trained on re…

eess.AS201913 cited

CN-CELEB: a challenging Chinese speaker recognition dataset

Yue Fan, Jiawen Kang, Lantian Li +7

Recently, researchers set an ambitious goal of conducting speaker recognition in unconstrained conditions where the variations on ambient, channel and emotion could be arbitrary. H…