Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT
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Abstract (arXiv)
This paper investigates self-supervised pre-training for audio-visual speaker representation learning where a visual stream showing the speaker's mouth area is used alongside speech as inputs. Our study focuses on the Audio-Visual Hidden Unit BERT (AV-HuBERT) approach, a recently developed general-purpose audio-visual speech pre-training framework. We conducted extensive experiments probing the effectiveness of pre-training and visual modality. Experimental results suggest that AV-HuBERT generalizes decently to speaker related downstream tasks, improving label efficiency by roughly ten fold for both audio-only and audio-visual speaker verification. We also show that incorporating visual information, even just the lip area, greatly improves the performance and noise robustness, reducing EER by 38% in the clean condition and 75% in noisy conditions.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 33 of its 44 references that are in the map. First posted on arXiv 15 May 2022.
Builds on
33 of 44 references.
References · 33
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21 more
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Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 1; 2025: 3.
8 papers.
- 2022Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Languagecited by 110
- 2023AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translationcited by 6
- 2023Cross-modal Audio-visual Co-learning for Text-independent Speaker Verificationcited by 3
- 2024Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesiscited by 2
- 2023Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verificationcited by 1
- 2025DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibilitycited by 1
- 2025MuteSwap: Visual-informed Silent Video Identity Conversioncited by 0
- 2025Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voicecited by 0
- 2025Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice24 Aug 2025
- 2025MuteSwap: Visual-informed Silent Video Identity Conversion1 Jul 2025
- 2025DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility7 Mar 2025
- 2024Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesis26 Nov 2024
- 2023Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification13 Sep 2023
- 2023AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation24 May 2023
- 2023Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification22 Feb 2023
- 2022Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language14 Dec 2022