Speaker Extraction with Co-Speech Gestures Cue
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Abstract (arXiv)
Speaker extraction seeks to extract the clean speech of a target speaker from a multi-talker mixture speech. There have been studies to use a pre-recorded speech sample or face image of the target speaker as the speaker cue. In human communication, co-speech gestures that are naturally timed with speech also contribute to speech perception. In this work, we explore the use of co-speech gestures sequence, e.g. hand and body movements, as the speaker cue for speaker extraction, which could be easily obtained from low-resolution video recordings, thus more available than face recordings. We propose two networks using the co-speech gestures cue to perform attentive listening on the target speaker, one that implicitly fuses the co-speech gestures cue in the speaker extraction process, the other performs speech separation first, followed by explicitly using the co-speech gestures cue to associate a separated speech to the target speaker. The experimental results show that the co-speech gestures cue is informative in associating with the target speaker.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 30 of its 45 references that are in the map. First posted on arXiv 31 Mar 2022.
Builds on
30 of 45 references.
References · 30
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18 more
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Built on by
Citing papers per year: 2022: 2; 2023: 1; 2024: 1; 2025: 1.
5 papers.
- 2023A Survey on Deep Multi-modal Learning for Body Language Recognition and Generationcited by 3
- 2025Plug-and-Play Co-Occurring Face Attention for Robust Audio-Visual Speaker Extractioncited by 2
- 2022Late Audio-Visual Fusion for In-The-Wild Speaker Diarizationcited by 1
- 2022VCSE: Time-Domain Visual-Contextual Speaker Extraction Networkcited by 0
- 2024NeuroSpex: Neuro-Guided Speaker Extraction with Cross-Modal Attentioncited by 0
- 2025Plug-and-Play Co-Occurring Face Attention for Robust Audio-Visual Speaker Extraction27 May 2025
- 2024NeuroSpex: Neuro-Guided Speaker Extraction with Cross-Modal Attention4 Sep 2024
- 2023A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation17 Aug 2023
- 2022Late Audio-Visual Fusion for In-The-Wild Speaker Diarization2 Nov 2022
- 2022VCSE: Time-Domain Visual-Contextual Speaker Extraction Network9 Oct 2022