构建跨语言老化语音数据集，揭示说话人变声规律。
VoxAging: Continuously Tracking Speaker Aging with a Large-Scale Longitudinal Dataset in English and Mandarin
- 收集293名说话人多年语音，最长跨度17年，每周采样一次。
- 发现年龄增长显著影响语音特征，男性变化更明显。
- 适用于语音验证系统老化鲁棒性研究与跨语言分析。
说话人验证系统的性能受说话人老化影响严重。然而，由于数据采集困难，尤其是缺乏个体长期、大规模的纵向数据，相关研究进展受限。本文提出VoxAging，一个大规模纵向语音数据集，涵盖293名说话人（226名英语使用者，67名汉语使用者），数据跨度长达17年（约900周），每位说话人每周录制一次语音。我们研究了说话人老化现象及其对先进说话人验证系统的影响，分析了个体老化过程，并探讨了年龄组和性别等因素对老化研究的影响。
原文摘要 · Abstract (English)
The performance of speaker verification systems is adversely affected by speaker aging. However, due to challenges in data collection, particularly the lack of sustained and large-scale longitudinal data for individuals, research on speaker aging remains difficult. In this paper, we present VoxAging, a large-scale longitudinal dataset collected from 293 speakers (226 English speakers and 67 Mandarin speakers) over several years, with the longest time span reaching 17 years (approximately 900 weeks). For each speaker, the data were recorded at weekly intervals. We studied the phenomenon of speaker aging and its effects on advanced speaker verification systems, analyzed individual speaker aging processes, and explored the impact of factors such as age group and gender on speaker aging research.
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