谱峰挑选可以改善触觉语音感知
Mark D Fletcher1,2,3, Carl A Verschuur4,5, Esma Akis6,5
1Faculty of Medicine, University of Southampton, University Road, Southampton, SO17 1BJ, UK. M.D.Fletcher@soton.ac.uk.
Scientific reports
|November 25, 2025
概括
新的触觉光谱峰值选择 (tSPP) 通过通过触摸选择性地传输关键音频特征来增强助听器用户的语音感知. 这种触觉方法显著改善了振动触觉音符歧视,有助于语音理解.
科学领域:
- 听觉神经科学 听觉神经科学
- 触觉学是指触觉学,是指触觉学.
- 语音感知 语音感知
背景情况:
- 语音感知中的个体差异通常与对声学语音线索的访问受损有关,特别是在听力损失的个体中.
- 触觉助听器为感官替代提供了一个有希望的途径,通过触觉刺激传递语音信息.
- 通过振动刺激来有效地传递关键的语音特征仍然存在挑战,以改善语音理解.
研究的目的:
- 引入和评估一个集成到触觉语音编码器中的触觉光谱峰值选择 (tSPP) 算法.
- 通过强调触觉语音通信中占主导地位的光谱特征来增强振动触觉语音歧视.
- 评估选择性特征传输对触觉语音感知的影响.
主要方法:
- 开发了一种触觉声编码器,可以将音频分解成八个频段.
- 集成了触觉光谱峰值选择 (tSPP) 算法,可以选择性地传输最有能量的光谱频段.
- 对26名参与者进行了手腕上的触觉音色区分测试,将触觉声编码器单独与一,两或四个选定的峰值的tspp进行了比较.
主要成果:
- 当使用 tSPP 算法 (一个,两个或四个峰值) 时,与单独使用触觉语音编码器相比,触觉语音区分显著改善.
- 对歧视的最大改善是观察到一个和两个峰值的tspp,显示平均增强7.5%.
- 对光谱突出特征的选择性增强可以明显改善触觉语音感知.
结论:
- 触觉光谱峰值选择 (tSPP) 算法通过强调主导的光谱特征,有效地增强了触觉语音感知.
- 这种方法适用于可穿戴感官替代器件的实时实现.
- 这些发现支持为有听力损失的人开发更有效的触觉助听器.
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