Joon Son Chung

is this you? claim profile

∙ 0 followers
University of Oxford ∙ NAVER Corp.

Research Scentist at NAVER Corp

ASR is all you need: cross-modal distillation for lip reading

The goal of this work is to train strong models for visual speech recogn...
11/28/2019 ∙ by Triantafyllos Afouras, et al. ∙ 24 ∙ share

read it
Disentangled Speech Embeddings using Cross-modal Self-supervision

The objective of this paper is to learn representations of speaker ident...
02/20/2020 ∙ by Arsha Nagrani, et al. ∙ 17 ∙ share

read it
VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well...
12/05/2019 ∙ by Joon Son Chung, et al. ∙ 5 ∙ share

read it
Deep Lip Reading: a comparison of models and an online application

The goal of this paper is to develop state-of-the-art models for lip rea...
06/15/2018 ∙ by Triantafyllos Afouras, et al. ∙ 4 ∙ share

read it
My lips are concealed: Audio-visual speech enhancement through obstructions

Our objective is an audio-visual model for separating a single speaker f...
07/11/2019 ∙ by Triantafyllos Afouras, et al. ∙ 3 ∙ share

read it
Deep Audio-Visual Speech Recognition

The goal of this work is to recognise phrases and sentences being spoken...
09/06/2018 ∙ by Triantafyllos Afouras, et al. ∙ 2 ∙ share

read it
Utterance-level Aggregation For Speaker Recognition In The Wild

The objective of this paper is speaker recognition "in the wild"-where u...
02/26/2019 ∙ by Weidi Xie, et al. ∙ 2 ∙ share

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

This report describes our submission to the ActivityNet Challenge at CVP...
06/25/2019 ∙ by Joon Son Chung, et al. ∙ 2 ∙ share

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

The goal of this work is to determine 'who spoke when' in real-world mee...
06/24/2019 ∙ by Joon Son Chung, et al. ∙ 1 ∙ share

read it
You said that?

We present a method for generating a video of a talking face. The method...
05/08/2017 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

read it
Lip Reading Sentences in the Wild

The goal of this work is to recognise phrases and sentences being spoken...
11/16/2016 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

read it
Signs in time: Encoding human motion as a temporal image

The goal of this work is to recognise and localise short temporal signal...
08/06/2016 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

read it
VoxCeleb: a large-scale speaker identification dataset

Most existing datasets for speaker identification contain samples obtain...
06/26/2017 ∙ by Arsha Nagrani, et al. ∙ 0 ∙ share

read it
The Conversation: Deep Audio-Visual Speech Enhancement

Our goal is to isolate individual speakers from multi-talker simultaneou...
04/11/2018 ∙ by Triantafyllos Afouras, et al. ∙ 0 ∙ share

read it
VoxCeleb2: Deep Speaker Recognition

The objective of this paper is speaker recognition under noisy and uncon...
06/14/2018 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

read it
LRS3-TED: a large-scale dataset for visual speech recognition

This paper introduces a new multi-modal dataset for visual and audio-vis...
09/03/2018 ∙ by Triantafyllos Afouras, et al. ∙ 0 ∙ share

read it
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation

This paper proposes a new strategy for learning powerful cross-modal emb...
09/21/2018 ∙ by Soo-Whan Chung, et al. ∙ 0 ∙ share

read it
Delving into VoxCeleb: environment invariant speaker recognition

Research in speaker recognition has recently seen significant progress d...
10/24/2019 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

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

Research on content and style representations has been widely studied in...
11/06/2019 ∙ by Seongkyu Mun, et al. ∙ 0 ∙ share

read it
In defence of metric learning for speaker recognition

The objective of this paper is 'open-set' speaker recognition of unseen ...
03/26/2020 ∙ by Joon Son Chung, et al. ∙ 0 ∙ share

read it

Joon Son Chung

Featured Co-authors

Andrew Zisserman

Oriol Vinyals

Samuel Albanie

Weidi Xie

Arsha Nagrani

Hee-Soo Heo

Hong-Goo Kang

Andrew Senior

Seongkyu Mun

Triantafyllos Afouras

Mitchell McLaren

ASR is all you need: cross-modal distillation for lip reading

Disentangled Speech Embeddings using Cross-modal Self-supervision

VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

Deep Lip Reading: a comparison of models and an online application

My lips are concealed: Audio-visual speech enhancement through obstructions

Deep Audio-Visual Speech Recognition

Utterance-level Aggregation For Speaker Recognition In The Wild

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

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

You said that?

Lip Reading Sentences in the Wild

Signs in time: Encoding human motion as a temporal image

VoxCeleb: a large-scale speaker identification dataset

The Conversation: Deep Audio-Visual Speech Enhancement

VoxCeleb2: Deep Speaker Recognition

LRS3-TED: a large-scale dataset for visual speech recognition

Perfect match: Improved cross-modal embeddings for audio-visual synchronisation

Delving into VoxCeleb: environment invariant speaker recognition

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

In defence of metric learning for speaker recognition