损伤的体处理但不是听觉功能与与年龄相关的AI语音识别减少有关
Björn Herrmann1,2, Mo Eric Cui1,2
1Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst St., North York, ON M6A 2E1, Canada.
Audiology research
|February 25, 2025
概括
老年人难以识别人工智能 (AI) 语音,原因是难以处理语音,而不是听力损失. 这影响了对现代语音人工智能系统的理解.
科学领域:
- 认知科学是一种认知科学.
- 语音处理 语音处理
- 人与计算机的互动.
背景情况:
- 语音人工智能 (AI) 越来越普遍.
- 与年轻人相比,老年人对识别现代AI语音的能力有所降低.
- 这种与年龄有关的差异的根本原因尚不清楚.
研究的目的:
- 调查导致人工智能语音识别与年龄相关的下降的因素.
- 检查高频信息和prosodic处理在AI语音识别中的作用.
- 澄清年龄,语音感知和AI语音识别之间的关系.
主要方法:
- 将AI语音识别准确度与年轻人和中年人和老年人进行比较.
- 实验1:删除高频语音信息 (>4 kHz) 的评估影响.
- 实验2:评估AI语音识别和表情情感识别之间的相关性,控制听力和AI体验.
主要成果:
- 人工智能语音识别的年龄组差异在高频信息被删除时仍然存在.
- 人工智能语音识别能力降低与处理prosodic线索的能力降低有关.
- 普罗索迪克处理能力预测AI语音识别准确性,独立于听觉功能和AI经验.
结论:
- 准确识别人工智能产生的语音的能力与有效处理体信息有关.
- 假肢处理中的与年龄相关的缺陷可能是人工智能识别语音困难的基础.
- 研究结果强调了在人类对合成声音的感知中,声的重要性.
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