适应说话者的噪音变化与上下文线索:广东语音调的情况
1Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon.
Journal of speech, language, and hearing research : JSLHR
|August 1, 2025
概括
听众使用语境线索来感知语音,但噪音会影响这种能力. 喋喋不休的噪音比调制噪音更具挑战性,注意力有助于适应.
科学领域:
- 语音感知研究 语音感知研究
- 听觉神经科学 听觉神经科学
- 精神声学是一种精神声学.
背景情况:
- 听众使用语境线索来实现感知恒定性,这种过程称为外部正常化,以管理说话者的变化.
- 日常沟通涉及说话者的变化和噪音,但它们在外部规范化中的相互作用尚未完全理解.
研究的目的:
- 调查不同类型和噪音水平如何影响听众使用语境线索来适应说话者的变化.
- 探索注意力控制在噪音条件下的外部正常化中的作用.
主要方法:
- 三十七名广东语母语者在安静和杂的环境中从各种说话者的广东语音中识别出广东语音.
- 经过测试的信号噪声比 (SNR) 从10到-10dB,包括声噪声 (BN) 和声调制的语音形状噪声 (BMN).
- 用Stroop颜色-字体测试来评估注意力控制.
主要成果:
- 外在正常化在0dB及以上的SNR有效,在较低的SNR下下降.
- 喋喋不休的噪音 (BN) 带来了比以5和10 dB的SNR调节的喋喋不休的语音形状噪音 (BMN) 更大的挑战.
- 较低的Stroop干扰得分与更好的BMN外在正常化以及10和0dB的SNR相关.
结论:
- 听众有效地使用上下文线索来适应低至中等噪音中的说话者变化.
- 高噪音水平显著损害了外部正常化,在低SNR的情况下,BN比BMN更有害.
- 注意力控制对于增强外部正常化至关重要,特别是在特定的噪音条件下.
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