将形式规范化与美国英语听众的母音感知比较
Anna Persson1, Santiago Barreda2, T Florian Jaeger3
1Swedish Language and Multilingualism, Stockholm University, Stockholm, SE-106 91, Sweden.
The Journal of the Acoustical Society of America
|February 25, 2025
概括
听众通过听觉正常化来适应不同的声音. 这项研究发现,简单的外部规范化,即听众学习说话者特定的语音统计数据,最好解释我们如何识别语音,优于复杂的模型.
科学领域:
- 心理语言学 心理语言学
- 听觉感知是一种听觉感知.
- 语音识别 语言识别
背景情况:
- 人类的语音识别非常强大,尽管说话者的特征有所不同.
- 听觉正常化机制对于适应个体声道差异至关重要.
- 了解这些规范化计算是解释语音感知的关键.
研究的目的:
- 调查语音感知中的听觉正常化背后的计算机制.
- 为了比较听众对20种不同的规范化模型的反应.
- 确定最准确的模型来解释听众如何适应说话者的变化.
主要方法:
- 进行了两次使用美国英语元音的8路替代强制选择实验.
- 利用不变的和合成的语言刺激.
- 将听众分类数据与20个规范化理论的预测进行了比较.
主要成果:
- 听众反应最好通过外部规范化模型来解释,这些模型依赖于说话者特定的统计数据.
- 在计算上简单的,单个参数的外部规范化模型提供了最合适的.
- 这种简单的外部模型表现优于更复杂的洛班诺夫规范化账户.
结论:
- 听众似乎学习和存储单个演讲者的演讲的分布性质.
- 简单的外部规范化是一种计算效率高且有效的语音适应机制.
- 这些发现挑战了在语音和语言研究中更复杂的规范化模型的普遍性.
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