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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.…
ASR is all you need: cross-modal distillation for lip reading
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
The goal of this work is to train strong models for visual speech recognition without requiring human annotated ground truth data. We achieve this by distilling from an Automatic S…
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…
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…
My lips are concealed: Audio-visual speech enhancement through obstructions
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
Our objective is an audio-visual model for separating a single speaker from a mixture of sounds such as other speakers and background noise. Moreover, we wish to hear the speaker e…
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…
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…
Utterance-level Aggregation For Speaker Recognition In The Wild
Weidi Xie, Arsha Nagrani, Joon Son Chung +1
The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals. Crucial elements in the design of d…