Automatic Audiovisual Asynchrony Measurement for Quality Assessment of Videoconferencing

Audiovisual asynchrony is a significant factor im-pacting the Quality of Experience (QoE), especially for interactive communication like video conferencing. In this paper, we propose a client-side approach to predict the delay between an audio and a video signal, using only the media signals from both streams. Features are extracted from the video and audio stream, respectively, and analyzed using a cross-correlation approach to determine the actual delay. Our approach predicts the delay with an accuracy of over 80% in a time frame of ±1s. We further highlight the potential drawbacks of using a cross-correlation-based analysis and propose different solutions for practical implementations of a delay-based QoE metric.