VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
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Abstract (arXiv)
We introduce a new approach for audio-visual speech separation. Given a video, the goal is to extract the speech associated with a face in spite of simultaneous background sounds and/or other human speakers. Whereas existing methods focus on learning the alignment between the speaker's lip movements and the sounds they generate, we propose to leverage the speaker's face appearance as an additional prior to isolate the corresponding vocal qualities they are likely to produce. Our approach jointly learns audio-visual speech separation and cross-modal speaker embeddings from unlabeled video. It yields state-of-the-art results on five benchmark datasets for audio-visual speech separation and enhancement, and generalizes well to challenging real-world videos of diverse scenarios. Our video results and code: http://vision.cs.utexas.edu/projects/VisualVoice/.
Key facts. Cited by 114 papers in the map (data through 7 Oct 2026). Builds on 53 of its 86 references that are in the map. First posted on arXiv 8 Jan 2021.
Builds on
53 of 86 references.
References · 53
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- 2018Talking Face Generation by Adversarially Disentangled Audio-Visual Representationcited by 212
- 2015Deep clustering: Discriminative embeddings for segmentation and separationcited by 211
- 2016Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separationcited by 189
- 2018Learning to Localize Sound Source in Visual Scenescited by 188
- 2020Self-Supervised Learning of Audio-Visual Objects from Videocited by 186
- 2019Listen to Look: Action Recognition by Previewing Audiocited by 163
- 2019The Sound of Motionscited by 145
- 2017S3FD: Single Shot Scale-invariant Face Detectorcited by 142
- 2015Visually Indicated Soundscited by 128
- 2018Learning to Separate Object Sounds by Watching Unlabeled Videocited by 114
- 2020Music Gesture for Visual Sound Separationcited by 112
- 2019Co-Separating Sounds of Visual Objectscited by 110
- 2018The Conversation: Deep Audio-Visual Speech Enhancementcited by 107
- 2020Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matchingcited by 104
- 2017Visual to Sound: Generating Natural Sound for Videos in the Wildcited by 98
- 2020Lipreading using Temporal Convolutional Networkscited by 98
- 2017Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networkscited by 97
- 2018Self-Supervised Generation of Spatial Audio for 360 Videocited by 93
- 2020Spot the conversation: speaker diarisation in the wildcited by 75
- 2017Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learningcited by 67
- 20182.5D Visual Soundcited by 63
- 2018Seeing Voices and Hearing Faces: Cross-modal biometric matchingcited by 60
- 2018Learnable PINs: Cross-Modal Embeddings for Person Identitycited by 60
- 2018Perfect match: Improved cross-modal embeddings for audio-visual synchronisationcited by 60
- 2019Speech2Face: Learning the Face Behind a Voicecited by 55
- 2020Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separationcited by 55
- 2020Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Soundscited by 55
- 2020VisualEchoes: Spatial Image Representation Learning through Echolocationcited by 54
- 2019Recursive Visual Sound Separation Using Minus-Plus Netcited by 53
- 2018Emotion Recognition in Speech using Cross-Modal Transfer in the Wildcited by 48
- 2020Voice Separation with an Unknown Number of Multiple Speakerscited by 46
- 2019Self-Supervised Audio-Visual Co-Segmentationcited by 44
- 2020Towards Practical Lipreading with Distilled and Efficient Modelscited by 44
- 2017Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networkscited by 36
- 2020Disentangled Speech Embeddings using Cross-modal Self-supervisioncited by 30
- 2018On Learning Associations of Faces and Voicescited by 26
- 2019My lips are concealed: Audio-visual speech enhancement through obstructionscited by 26
- 2020FaceFilter: Audio-visual speech separation using still imagescited by 25
50 most cited of 53 All 53 (JSON)
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Citing papers per year: 2021: 10; 2022: 31; 2023: 30; 2024: 19; 2025: 14; 2026: 10.
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50 most cited of 114 All 114 (JSON)
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50 newest of 114 All 114 (JSON)
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12 most cited of 103 All 103 (JSON)
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- 2026STEER: Steerable Dyadic Head Avatars26 Jul 2026
- 2026IsoNet: Spatially-aware audio-visual target speech extraction in complex acoustic environments14 May 2026
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- 2026SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling1 Feb 2026
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- 2025Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior17 Sep 2025
12 newest of 103 All 103 (JSON)