在自发言语中的女性性和男性性的声学线索
Fredrik Nylén1, Jenny Holmberg1, Maria Södersten2,3
1Department of Clinical Sciences, Division of Speech and Language Pathology, Umeå University, Umeå SE901 87, Sweden.
The Journal of the Acoustical Society of America
|May 8, 2024
概括
这项研究确定了影响男性性和女性性的观念的关键声学声音特征. 了解这些声音线索可以改善性别肯定语音培训中的沟通和评估.
科学领域:
- 语音和听力科学 语言和听力科学
- 声学语音学的声音学
- 性别研究是性别研究.
背景情况:
- 感知到的声音女性性和男性性对于说话者身份至关重要.
- 与性别认同不一致的声音表达可以加剧性别失调症.
- 对于感知到声音的男性性和女性性的声学线索尚未完全理解.
研究的目的:
- 开发声学模型来预测感知到的声音女性性和男性性.
- 提高对影响语音感知的声学标记的理解.
- 支持性别肯定语音培训和语音合成.
主要方法:
- 创建了一个132个声音的语音银行,各种各样的感知男性性和女性性.
- 通过随机感知评估,从121个人收集了听众评分.
- 在223个已识别的声学线索上开发了使用惩罚回归和交叉验证的声学模型.
主要成果:
- 开发的声学模型解释了89%的感知女性的差异和87%的感知男性的差异.
- 中位数基本频率 (fo) 被证实是主要提示.
- 除了fo之外的其他声学特性对于准确的感知模型至关重要.
结论:
- 结合多个线索的声学模型可以显著预测声音的男性性和女性性.
- 这些发现可以改善性别肯定语音培训中的沟通和评估.
- 增强对声音线索的理解可以推进语音合成技术.
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