尖叫会影响语音振幅外的时间性质
Kostis Dimos1, Lei He1, Volker Dellwo1
1Department of Computational Linguistics, University of Zurich, Zurich, Switzerlandkostis.dimos@uzh.ch, lei.he@uzh.ch, volker.dellwo@uzh.ch.
JASA express letters
|January 3, 2024
概括
尖叫显著改变了语音振幅包 (ENV) 的时间性质. 这些变化,包括更的上升和延迟的峰值,可能有助于识别尖叫的语音,帮助助听器用户进行沟通.
科学领域:
- 声学 声学 在声学上
- 语音科学 语言科学
- 精神声学是一种精神声学.
背景情况:
- 对于有效的沟通来说,分辨喊话与正常话语至关重要.
- 语音中的声学线索,例如振幅包裹 (ENV),对于语音感知至关重要.
研究的目的:
- 调查大喊大叫对语音振幅外 (ENV) 的时间特征的影响.
- 识别大声发言的声学特征,有助于自动检测.
主要方法:
- 18名瑞士德语说话者在正常模式和喊话模式 (≥80 dB SPL在1米) 两种模式下都产生了720个句子.
- 使用通用添加模型分析了振幅外 (ENV) 的时间性质.
主要成果:
- 喊声显著改变了振幅外 (ENV) 的时间性质.
- 关键的改变包括更的上升,延迟的峰值,以及延长的ENV的高层部分.
- 这些时间修改提供了潜在的声学线索,用于识别尖叫的语音.
结论:
- 振幅外 (ENV) 的时间特征在喊叫过程中发生显著变化.
- 这些发现为自动检测尖叫语音提供了有价值的线索.
- 这项研究对语音处理系统有意义,特别是对于听力障碍患者,如耳植入物用户,细结构线索可能有限.
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