用朗读脚本收集自然语音，兼顾内容控制与隐私安全
Collecting Prosody in the Wild: A Content-Controlled, Privacy-First Smartphone Protocol and Empirical Evaluation
- 用固定脚本朗读，统一内容避免语义干扰
- 在手机端提取特征并立即删除音频，保障隐私
- 适合心理学、语音分析等需真实语音数据的研究
为进行语音韵律分析，日常语音数据采集面临语义与韵律混淆、隐私限制和参与者配合度低的挑战。本文提出并实证评估了一种内容可控、隐私优先的智能手机采集协议：通过脚本化朗读句子标准化词汇内容（包括提示情绪倾向），同时捕捉自然的韵律表达差异。该协议在设备端完成韵律特征提取，立即删除原始音频，仅传输衍生特征用于分析。我们在大规模研究中部署该协议（N=560；9,877次录音），评估了参与率与数据质量，并基于提取特征进行了诊断性预测任务，成功预测了说话人性别及瞬时情绪状态（正负性、唤醒度）。讨论了该协议对后续研究的应用前景与改进方向。
原文摘要 · Abstract (English)
Collecting everyday speech data for prosodic analysis is challenging due to the confounding of prosody and semantics, privacy constraints, and participant compliance. We introduce and empirically evaluate a content-controlled, privacy-first smartphone protocol that uses scripted read-aloud sentences to standardize lexical content (including prompt valence) while capturing naturalistic variation in prosodic delivery. The protocol performs on-device prosodic feature extraction, deletes raw audio immediately, and transmits only derived features for analysis. We deployed the protocol in a large study (N = 560; 9,877 recordings), evaluated compliance and data quality, and conducted diagnostic prediction tasks on the extracted features, predicting self-reported speaker sex and momentary affective states (valence, arousal). We discuss implications and directions for advancing and deploying the protocol.
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