Speaker Extraction with Co-Speech Gestures Cue

• URL: http://arxiv.org/abs/2203.16840v1
• Date: Thu, 31 Mar 2022 06:48:52 GMT
• Title: Speaker Extraction with Co-Speech Gestures Cue
• Authors: Zexu Pan, Xinyuan Qian, Haizhou Li
• Abstract summary: We explore the use of co-speech gestures sequence, e.g. hand and body movements, as the speaker cue for speaker extraction. We propose two networks using the co-speech gestures cue to perform attentive listening on the target speaker. The experimental results show that the co-speech gestures cue is informative in associating the target speaker, and the quality of the extracted speech shows significant improvements over the unprocessed mixture speech.
• Score: 79.91394239104908
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 the target speaker, and the quality of the extracted speech shows significant improvements over the unprocessed mixture speech.

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