可穿戴的智能喉使得脑卒中患者的自然言语成为可能
Chenyu Tang1, Shuo Gao2, Cong Li3
1Department of Engineering, University of Cambridge, Cambridge, UK.
Nature communications
|January 19, 2026
概括
这项研究介绍了一种人工智能驱动的智能喉系统,以恢复语言障碍患者的沟通. 这种可穿戴设备可以实现流,情感表达的言语,大大提高了用户的满意度.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能的人工智能
- 语音技术 语言技术
背景情况:
- 可穿戴的无声语音系统显示出在语言障碍患者中恢复沟通的前景.
- 目前的系统难以实现无,连贯的语音,缺乏经过验证的临床疗效.
研究的目的:
- 开发和评估人工智能驱动的智能喉 (IT) 系统,以实现流利,情感表达式的沟通.
- 为了为语言障碍患者实现实时,连续的语音解码.
主要方法:
- 喉肌肉振动和喉脉冲信号传感器与大型语言模型 (LLM) 处理的整合.
- 利用超敏感的织应变传感器,从部获取高质量的信号.
- 代币级处理用于无,无延迟的通信和基于LLM的错误纠正.
主要成果:
- 实现了较低的错误率:4.2%的单词错误率和2.9%的句子错误率在中风患有脱节症的患者中.
- 在参与者中,用户满意度增加了55%.
- 通过智能LLM代理实现流利和情感表达式的沟通.
结论:
- 信息技术系统为患有脱节症的患者建立了一个便携式,直观的沟通平台.
- 该技术在各种神经疾病和多语言支持方面具有广泛的潜在应用.
- 这种由人工智能驱动的方法显著提高了语言障碍患者的沟通恢复.
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