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arXiv · 2401.04868

Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection

Koji Inoue·Bing'er Jiang·Erik Ekstedt·Tatsuya Kawahara·Gabriel Skantze
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Abstract

A demonstration of a real-time and continuous turn-taking prediction system is presented. The system is based on a voice activity projection (VAP) model, which directly maps dialogue stereo audio to future voice activities. The VAP model includes contrastive predictive coding (CPC) and self-attention transformers, followed by a cross-attention transformer. We examine the effect of the input context audio length and demonstrate that the proposed system can operate in real-time with CPU settings, with minimal performance degradation.

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Koji Inoue, Bing'er Jiang, Erik Ekstedt, Tatsuya Kawahara, Gabriel Skantze. 2024-01-10. Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection. https://arxiv.org/abs/2401.04868

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