activity
20162023
most citedClova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020

97 citations · 328 across the 22 of their papers we have counts for

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Showing 2019 · cs.SDShow all

5 papers · 2 filters

cs.SD2019★ 48 cited

VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

Joon Son Chung, Arsha Nagrani, Ernesto Coto +4

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well current speaker recognition technology is able to identify speakers in unconstrained or `in the wild' data.…

cs.SD2019★ 2 cited

The sound of my voice: speaker representation loss for target voice separation

Seongkyu Mun, Soyeon Choe, Jaesung Huh +1

Content and style representations have been widely studied in the field of style transfer. In this paper, we propose a new loss function using speaker content representation for au…

cs.SD2019★ 1 cited

Delving into VoxCeleb: environment invariant speaker recognition

Joon Son Chung, Jaesung Huh, Seongkyu Mun

Research in speaker recognition has recently seen significant progress due to the application of neural network models and the availability of new large-scale datasets. There has b…

cs.SD2019★ 31 cited

Naver at ActivityNet Challenge 2019 -- Task B Active Speaker Detection (AVA)

Joon Son Chung

This report describes our submission to the ActivityNet Challenge at CVPR 2019. We use a 3D convolutional neural network (CNN) based front-end and an ensemble of temporal convoluti…

cs.SD2019★ 5 cited

Who said that?: Audio-visual speaker diarisation of real-world meetings

Joon Son Chung, Bong-Jin Lee, Icksang Han

The goal of this work is to determine 'who spoke when' in real-world meetings. The method takes surround-view video and single or multi-channel audio as inputs, and generates robus…