Joon Son Chung

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University of Oxford ∙ NAVER Corp.

Research Scentist at NAVER Corp

Adapting Speaker Embeddings for Speaker Diarisation

The goal of this paper is to adapt speaker embeddings for solving the pr...
04/07/2021 ∙ by Youngki Kwon, et al. ∙ 0 ∙ share

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Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network

In this work, we propose an overlapped speech detection system trained a...
04/07/2021 ∙ by Jee-weon Jung, et al. ∙ 0 ∙ share

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Look who's not talking

The objective of this work is speaker diarisation of speech recordings '...
11/30/2020 ∙ by Youngki Kwon, et al. ∙ 0 ∙ share

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Supervised attention for speaker recognition

The recently proposed self-attentive pooling (SAP) has shown good perfor...
11/10/2020 ∙ by Seong Min Kye, et al. ∙ 0 ∙ share

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

The VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020 ...
10/29/2020 ∙ by Yoohwan Kwon, et al. ∙ 0 ∙ share

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Graph Attention Networks for Speaker Verification

This work presents a novel back-end framework for speaker verification u...
10/22/2020 ∙ by Jee-weon Jung, et al. ∙ 0 ∙ share

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Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020

This report describes our submission to the VoxCeleb Speaker Recognition...
09/29/2020 ∙ by Hee-Soo Heo, et al. ∙ 0 ∙ share

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Cross attentive pooling for speaker verification

The goal of this paper is text-independent speaker verification where ut...
08/13/2020 ∙ by Seong Min Kye, et al. ∙ 0 ∙ share

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Self-Supervised Learning of Audio-Visual Objects from Video

Our objective is to transform a video into a set of discrete audio-visua...
08/10/2020 ∙ by Triantafyllos Afouras, et al. ∙ 7 ∙ share

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BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

Recent progress in fine-grained gesture and action classification, and m...
07/23/2020 ∙ by Samuel Albanie, et al. ∙ 2 ∙ share

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Augmentation adversarial training for unsupervised speaker recognition

The goal of this work is to train robust speaker recognition models with...
07/23/2020 ∙ by Jaesung Huh, et al. ∙ 0 ∙ share

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Spot the conversation: speaker diarisation in the wild

The goal of this paper is speaker diarisation of videos collected 'in th...
07/02/2020 ∙ by Joon Son Chung, et al. ∙ 2 ∙ share

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Metric Learning for Keyword Spotting

The goal of this work is to train effective representations for keyword ...
05/18/2020 ∙ by Jaesung Huh, et al. ∙ 0 ∙ share

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FaceFilter: Audio-visual speech separation using still images

The objective of this paper is to separate a target speaker's speech fro...
05/14/2020 ∙ by Soo-Whan Chung, et al. ∙ 9 ∙ share

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Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision

The goal of this work is to train discriminative cross-modal embeddings ...
04/29/2020 ∙ by Soo-Whan Chung, et al. ∙ 11 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Joon Son Chung

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