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通过众包听众评分来测量说话者的年龄估计:语音研究的试点研究

Raquel M A Tripp¹, Eric J Hunter², Aaron M Johnson³

¹Department of Communicative Sciences and Disorders, New York University, NY.

Journal of speech, language, and hearing research : JSLHR

|January 17, 2025

概括

在线众包有效地复制了基于实验室的语音年龄估计. 这种方法提供了一种低成本,大量的方法来收集来自不同参与者的感知语音数据.

科学领域:

语音和听力科学语言和听力科学
心理学心理学心理学
人与计算机的交互

背景情况:

听觉感知语音研究传统上依赖于训练有素的听众.
在线众包正在出现行为数据收集,但在语音感知研究中未得到充分利用.
这项研究探讨了众包对于语音特定年龄估计的可行性.

研究的目的:

评估在线众包对听觉感知语音评级的可行性.
使用在线平台复制基于实验室的语音年龄估计研究.
为了评估未经训练的听众在估计语音年龄方面的准确性.

主要方法:

50个未经训练的,众筹的听众估计了一个单独的演讲者的年龄.
他们使用了48年间20次演讲的音频样本.
年龄估计的准确性是主要的结果指标.

主要成果:

众筹的年龄估计与之前的实验室发现密切一致.
听众倾向于高估年轻的年龄,低估年长的年龄.
估计的年龄与演讲者的年代年龄相匹配,即54岁.

结论:

在线众包是一种可行的听觉感知语音评级方法.
这种方法为传统方法提供了低成本,高参与率的替代方案.
需要进一步的研究来验证复杂的语音参数的众包评分.

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