高兴奋的情感语言可以提高语音可理解性和在噪音中识别情感
Jessica M Alexander1, Fernando Llanos1
1Department of Linguistics, University of Texas at Austin, Austin, Texas 78712, USA.
The Journal of the Acoustical Society of America
|June 3, 2025
概括
愤怒和快乐等高兴奋情绪可以改善语音和在噪音中识别情绪. 然而,识别情绪并不能预测语音理解,语音理解更多地依赖于关键频段的信号功率.
科学领域:
- 声学语音学的声音学
- 精神声学是一种精神声学.
- 语音沟通 语音沟通
背景情况:
- 音符和语音质量特征传达了情绪状态.
- 背景噪音可以差异地影响语音和情绪识别.
- 了解噪音如何影响对情感语言的听觉感知至关重要.
研究的目的:
- 调查背景噪音对语音可理解性和情感识别的影响.
- 为了比较不同情感语音风格 (愤怒,快乐,中立) 对听觉感知的影响.
- 在不同噪音条件下确定语音识别和情绪识别之间的关系.
主要方法:
- 在四个信号噪声比 (SNR) 级别中评估语音可理解性和情感识别.
- 利用愤怒,快乐和中立的语言刺激.
- 采用无监督的维度缩放用于模式分析.
主要成果:
- 高兴奋的情感语言 (生气,快乐) 在噪音中改善了语音和情感识别.
- 情绪识别表现无法可靠地预测语音识别表现.
- 语音识别与关键频段的信号功率有很强的相关性 (语音可理解性指数).
- 噪音水平影响了情感识别的感知暗示权重策略.
- 声与噪声比率和基本频率变化最好预测情绪识别模式.
结论:
- 听众在识别语音与情绪时,可能会对声学特征采用不同的权重策略.
- 像声与噪声比率和频率可变性这样的声学线索是噪声中情感识别的关键.
- 情绪兴奋可以在杂的环境中增强对言语和情绪的感知.
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