音调轮相似性:f0表示和距离测量与人类的感知相比,在两个语言
1Institute of Linguistics, University of Cologne, Cologne, Germany.
The Journal of the Acoustical Society of America
|July 6, 2023
概括
这项研究比较了分析音程 (f0) 轮的数值方法与人类感知. 在f0轮的第一个导数上的动态时间曲线最好地反映了听众如何在不同语言中感知音高差异.
科学领域:
- 语音学 语音学 语音学
- 计算语言学 计算语言学
- 声学语音学的声音学
背景情况:
- 基本频率 (f0) 轮的集群分析在语音研究中越来越多地使用.
- f0轮的自动分类提供了对跨语言的语音语调的洞察力.
- 了解数值表示如何捕捉感知到的f0差异对于可靠的集群分析至关重要.
研究的目的:
- 评估f0轮和距离测量的不同数值表示如何与人类对音调差异的感知保持一致.
- 为了识别声学分析的边形表示和距离测量的最佳组合.
- 调查f0轮变化的感知中的跨语言差异.
主要方法:
- 测试了四个时间序列f0轮表示:等效矩形带宽,标准化,八度中位数重新缩放和第一个导数.
- 应用了三种距离测量方法:欧几里德距离 (L2规范),皮尔森相关性和动态时间扭曲 (DTW).
- 收集了来自德语和巴布亚马来语母语者的感知数据.
主要成果:
- 计算的轮差异适度地反映了人类的感知.
- 对f0轮的第一个导数应用的动态时间曲线 (DTW) 显示出最佳性能.
- 德国和巴布亚马来语听众群体之间观察到的差异很小.
结论:
- 数字表示和距离测量的选择对f0轮集群分析的结果产生重大影响.
- 第一个导数上的DTW提供了一个强大的方法来捕捉感知到的f0差异,显示跨语言一致性.
- 这项研究为改进语调模式的自动化分析提供了方法论基础.
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