同步音视频多视角采集系统，支持高精度时序分析对话行为。
A Synchronized Audio-Visual Multi-View Capture System
- 音视频同步采集，统一时间架构保证数据对齐
- 实测同步误差小于1毫秒，满足细粒度对话分析需求
- 适合研究对话交互、语音语调等需要精确时序的场景
多视角采集系统是控制条件下研究人类运动的重要工具。现有系统多聚焦于视频流，缺乏对音频采集和严格音视频对齐的支持，而这两者在对话互动研究中至关重要，因话轮转换、重叠与语调等时间细节直接影响分析结果。本文介绍一种音视频多视角同步采集系统，将同步音频与同步视频作为核心信号处理。系统结合多摄像机与多通道麦克风，在统一时间架构下实现采集，并提供可重复的标定、采集与质量控制工作流，支持大规模稳定录制。我们量化了部署中的同步性能，结果显示记录数据具备足够的时间一致性，可用于精细分析与对话行为的数据驱动建模。
原文摘要 · Abstract (English)
Multi-view capture systems have been an important tool in research for recording human motion under controlling conditions. Most existing systems are specified around video streams and provide little or no support for audio acquisition and rigorous audio-video alignment, despite both being essential for studying conversational interaction where timing at the level of turn-taking, overlap, and prosody matters. In this technical report, we describe an audio-visual multi-view capture system that addresses this gap by treating synchronized audio and synchronized video as first-class signals. The system combines a multi-camera pipeline with multi-channel microphone recording under a unified timing architecture and provides a practical workflow for calibration, acquisition, and quality control that supports repeatable recordings at scale. We quantify synchronization performance in deployment and show that the resulting recordings are temporally consistent enough to support fine-grained analysis and data-driven modeling of conversation behavior.
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