most citedIntra-class variation reduction of speaker representation in disentanglement framework

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Look Who's Talking: Active Speaker Detection in the Wild

You Jin Kim, Hee-Soo Heo, Soyeon Choe +5

In this work, we present a novel audio-visual dataset for active speaker detection in the wild. A speaker is considered active when his or her face is visible and the voice is audi…

eess.AS2020

Learning in your voice: Non-parallel voice conversion based on speaker consistency loss

Yoohwan Kwon, Soo-Whan Chung, Hee-Soo Heo +1

In this paper, we propose a novel voice conversion strategy to resolve the mismatch between the training and conversion scenarios when parallel speech corpus is unavailable for tra…

cs.SD2020

The ins and outs of speaker recognition: lessons from VoxSRC 2020

Yoohwan Kwon, Hee-Soo Heo, Bong-Jin Lee +1

The VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020 offers a challenging evaluation for speaker recognition systems, which includes celebrities playing differen…

eess.AS20203 cited

Intra-class variation reduction of speaker representation in disentanglement framework

Yoohwan Kwon, Soo-Whan Chung, Hong-Goo Kang

In this paper, we propose an effective training strategy to ex-tract robust speaker representations from a speech signal. Oneof the key challenges in speaker recognition tasks is t…

eess.AS2020

Cross attentive pooling for speaker verification

Seong Min Kye, Yoohwan Kwon, Joon Son Chung

The goal of this paper is text-independent speaker verification where utterances come from 'in the wild' videos and may contain irrelevant signal. While speaker verification is nat…