通过比较不同语音类型对生物说话者特征的语音评估的准确性
Piotr Sorokowski1, Agata Groyecka-Bernard2, Tomasz Frackowiak2
1Institute of Psychology, University of Wrocław, Wrocław, Poland. sorokowskipiotr@yahoo.co.uk.
Scientific reports
|December 27, 2023
概括
听众可以从声音中准确地判断演讲者的性别和年龄,即使是简单的声音. 增加语音复杂性提供了轻微的改进,因为语音和其它语音线索提供了稳定的生物信息.
科学领域:
- 声学语音学的声音学.
- 人类的听觉感知人类的听觉感知.
- 生物识别语音分析
背景情况:
- 非语言语音参数信号生物特征,如性别,年龄和身体大小.
- 这些声音线索对于社会互动和新兴的语音技术至关重要.
- 听众从声音中判断特征的准确性是已知的,但语音复杂性的影响是不清楚的.
研究的目的:
- 调查语音复杂性是否提高了听众在评估演讲者的性别,年龄,身高和体重方面的准确性.
- 为了确定不同语音复杂性的精度如何变化,从孤立的声音到完整的段落.
主要方法:
- 超过200名歌手和1500名听众参加了比赛.
- 听众通过不同复杂度的音频刺激 (元音,单词,句子,段落) 来评估说话者的特征 (性别,年龄,身高,体重).
- 统计分析将听众评估与实际说话者的生物数据相关联.
主要成果:
- 听众对性别和年龄的准确性随着语音复杂性的增加而有所改善.
- 即使使用最小的语音输入 (例如单元母音),也保持了高精度.
- 实际的身体尺寸 (身高,体重) 解释了听众评价的差异较小,而听众评价并没有随着语音复杂性而有系统地改变.
结论:
- 虽然复杂的语言在判断生物特征方面提供了很小的收益,但即使从简短的发音中,听众也具有显著的准确性.
- 在语音器内,语音参数的非语言稳定性,如语音音调,支着这种高基线准确性.
- 这些发现对语音识别技术,社会沟通和听觉感知研究的方法方法有影响.
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