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语言反支持快速适应声学退化的语音
Wenhui Sun1, Jiajie Zou2, Tianyi Zhu2
1Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou 311121, China.
iScience
|June 13, 2024
概括
人类通过使用内部语言反快速适应理解退化的语言. 这种自我监督的学习策略,模仿自动语音识别系统,允许快速适应具有挑战性的声环境.
科学领域:
- 认知科学是一种认知科学.
- 语音处理 语音处理
- 机器学习 机器学习
背景情况:
- 人类语音识别对声学退化有很强的抵抗力.
- 快速适应语音退化的机制尚未完全理解.
研究的目的:
- 测试内部语言反能够快速适应声学退化语音的假设.
- 调查自动语音识别 (ASR) 系统是否可以使用自主监督学习来模拟人类的适应.
主要方法:
- 量化了人类适应声学降低语音的速度 (噪声编码,时间压缩,时间逆转).
- 开发并调整了ASR系统,使用自主监督学习的自主识别结果.
主要成果:
- 人类语音识别准确度在接触到劣化语音的最小程度后提高了20%以上.
- 在使用内部语言反时,ASR系统展示了人类水平的适应速度和准确性.
结论:
- 内部语言反是人类适应声学降低语音的可信机制.
- 自主监督学习,类似于ASR系统中的学习,可能是人类这种适应能力的基础.
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