主导的中高频声预测神经编码和具有很大的 f0 差异的同时发音的感知
Fan-Yin Cheng1,2, Sarah Medina1, Olaedochim Obinna1
1Department of Speech, Language, and Hearing Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
The Journal of the Acoustical Society of America
|August 20, 2025
概括
基本频率 (f0) 差异通过影响神经通道选择来帮助语音分离. 占主导的光谱能量, 而不是注意力,
科学领域:
- 听觉神经科学
- 语音感知
- 心理声学
背景情况:
- 基本的频率 (f0) 差异对于语音流分离至关重要.
- 目前正在积极研究基于f0的语音流的神经机制.
- 神经计算模型旨在解释听觉场景分析中的感知现象.
研究的目的:
- 调查基于f0的神经通道选择是否预测并发元音混合中的感知.
- 检查皮质下神经编码 (FFR) 和行为识别精度之间的关系.
- 确定光谱能量主导和注意力在基于f0的语音流中的作用.
主要方法:
- 通过频率跟踪响应 (FFR) 测量皮层下神经编码.
- 在具有很大差异 (> 8 半音) 的 12 个并发元音混合中评估符号识别精度.
- 与感知性能相关的FFR f0幅度和光谱能量的分析.
主要成果:
- 一个元音的神经通道选择强度受竞争元音的身份影响.
- FFR f0振幅和识别精度与中高频率 (> 1500 Hz) 的光谱能量占主导地位相关.
- 注意调制没有显著改变目标或非目标元音的神经表示.
结论:
- 基于f0差异的语音流可能依赖于由主导的光谱能量驱动的神经通道选择.
- 这种机制似乎有效地分离了具有实质性 f0 分离的相互竞争的元音.
- 在基于f0的听觉场景分析中,光谱主导的皮层处理起着关键作用.
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