法语说话者更喜欢简谱而不是统计数据来细分演讲
Joan Birulés1, Mireia Marimon2, Alexandre Duroyal3
1Laboratoire de Psychologie et NeuroCognition, UMR 5105, University Grenoble Alpes, France; Department of Basic, Developmental and Educational Psychology, Universitat Autònoma de Barcelona, Spain.
Language and speech
|October 9, 2025
概括
法语使用者在对不熟悉的语言进行细分时,优先考虑prosodic线索而不是统计学习. 语音边界指导单词细分,展示了语音处理的语音驱动方法.
科学领域:
- 心理语言学 心理语言学
- 语音感知 语音感知
- 认知科学 认知科学
背景情况:
- 听众使用prosodic和统计线索在不熟悉的演讲中进行单词细分.
- 这些线索在语音细分中的相互作用尚未完全理解.
研究的目的:
- 调查法语说话者如何将过渡概率 (TP) 和prosodic短语边界结合起来进行单词细分.
- 为了确定prosodic线索是否可以覆盖语音细分中的统计线索.
主要方法:
- 成年法语说话者执行了一个人造语音细分任务.
- 在prosodic边界和TP之间的一致性被操纵.
- 实验对语音流 (3.5分钟和7分钟) 的暴露时间进行了变化.
主要成果:
- 参与者始终倾向于使用prosodic短语边界,而不是TPs用于单词细分.
- 这种偏爱口语线索的偏好与暴露于语音信号的持续时间无关.
结论:
- 语音线索在指导法语说话者的语音细分方面发挥着主导作用.
- 这一群体的语音细分主要是由prosody驱动的,影响统计学学习.
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