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Updated: Jun 10, 2025

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Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
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使用无线蓝牙耳机进行健行声调监测
Chieh-Sin Hsu1, Ji-Yan Han2, Ying-Hui Lai3
1Department of Physical Medicine and Rehabilitation, Kinmen Hospital, Ministry of Health and Welfare, Kinmen, Taiwan; Department of Special Education, University of Taipei, Taipei, Taiwan.
Journal of voice : official journal of the Voice Foundation
|October 17, 2024
概括
这项研究引入了一种使用无线耳机和移动应用程序的新型门诊声学监测 (APM) 系统. 该系统准确地检测声调段并测量语音强度,为语音分析提供了更容易获得的方法.
科学领域:
- 语音和听力科学 语言和听力科学
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
背景情况:
- 循环声调监测 (APM) 传统上使用繁的接触装置.
- 由于其学术重点,现有的APM系统的普遍接受度有限.
- 需要更容易访问和用户友好的语音监控解决方案.
研究的目的:
- 开发和评估一种使用无线蓝牙耳机的新型APM系统.
- 设计一个移动应用程序,使用个性化的AI模型来检测发音.
- 评估系统在测量语音段和语音强度方面的准确性.
主要方法:
- 在一个声学实验室进行了一项概念验证研究.
- 无线蓝牙耳机用于捕获语音信号.
- 基于深度神经网络的语音检测模型被训练并测试在教师的语音录音上.
主要成果:
- 语音检测模型实现了高训练精度 (平均95.4%) 和测试音调段的精度 (平均91.5%).
- 发音段检测的一致性显示,平均卡帕值为0.813.
- 语音强度测量在线性校准后显示出高精度 (平均0.885皮尔森相关系数).
结论:
- 使用无线耳机和移动应用程序的新型APM系统准确监测语音段和语音强度.
- 这项技术在语音分析中显示出对现实世界应用的前景.
- 建议在更多参与者和多样化的环境下进行进一步的验证.
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