Real-Time Adaptive Speech Mixing and Audio-Video Synchronization

Abstract

The rapid growth of online communication, virtual meetings, and multimedia applications has increased the need for high-quality audio and video synchronization. In many real-time communication systems, delays between audio and video, background noise, and uneven speech levels reduce the overall quality of user interaction. These issues can affect communication, especially in applications such as video conferencing, online education, live streaming, and digital broadcasting. To address these challenges, this project presents a RealTime Adaptive Speech Mixing and AudioVideo Synchronization system that enhances speech quality while maintaining accurate synchronization between audio and video streams. The proposed system captures audio and video simultaneously and processes them using adaptive speech enhancement techniques. It removes background noise, balances the audio levels of multiple speakers, and automatically synchronizes speech with the corresponding video frames. The synchronization module continuously monitors timing differences and adjusts the playback to minimize delays without requiring manual intervention. This adaptive approach improves speech clarity, reduces latency, and ensures smooth lip synchronization during communication. The developed system provides a reliable and efficient solution for modern multimedia applications by delivering synchronized, high-quality audio and video output. It can be effectively used in online meetings, virtual classrooms, multimedia editing, live broadcasting, and entertainment platforms where clear communication and accurate synchronization are essential for an improved user experience.