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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
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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. ∙
16
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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. ∙
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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
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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
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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
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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
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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
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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. ∙
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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
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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
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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. ∙
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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. ∙
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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. ∙
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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
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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