说话者识别中的双重学习系统:语言,口音和反的影响
Shengyue Xiong1, Zhe-Chen Guo1, Casey L Roark2
1Department of Communication Sciences and Disorders, Northwestern University, 2240 Campus Drive, Evanston, IL, 60208, USA.
Attention, perception & psychophysics
|December 25, 2025
概括
熟悉语言和口音可以提高说话者的识别能力. 最少的反,促进反射学习 (RL),提高决策效率,特别是在非母语语境.
科学领域:
- 认知科学 认知科学
- 听觉感知是一种听觉感知.
- 语音处理 语音处理
背景情况:
- 谈话者识别依赖于从可变语音中学习稳定的表示.
- 双重学习系统 (DLS) 模型在类别获取中区分反射式和反射式学习.
- 由刺激-奖励关联驱动的反射学习被认为主导着后来的学习阶段.
研究的目的:
- 在DLS框架内调查说话者学习.
- 检查语言和口音熟悉度对说话者识别的影响.
- 为了比较完全反与最小反对学习和决策过程的影响.
主要方法:
- 培训普通话听众,以识别母语 (普通话) 和非母语 (英语,普通话口音的英语) 语境中的说话者.
- 实验性操纵反类型 (完全或最小) 以引起反射或反射学习.
- 评估识别准确度和响应时间,使用漂移扩散模型进行分析.
主要成果:
- 熟悉语言和口音显著提高了说话者识别的准确性和速度.
- 最少的反,促进反射学习,导致更快的识别和更有效的决策.
- 最少反的好处在非母语英语语文背景中最为明显.
结论:
- 反射式学习在提高说话者识别的响应效率方面发挥着至关重要的作用.
- 决策动态,特别是在有利于反射学习的条件下,对于理解说话者识别很重要.
- 研究结果强调了语言背景,学习系统和语音感知效率之间的相互作用.
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