智能手机自然定位对声音声学测量的影响)
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Updated: Jul 23, 2025
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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
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Victoria S McKenna1, Rachel M Roberts1, Aaron D Friedman2
1Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio 45267, USA.
The Journal of the Acoustical Society of America
|July 14, 2023
概括
自然的智能手机位置可以跟踪慢性语音障碍的一些语音措施. 然而,并非所有声学测量都与临床记录相比,这会影响家庭语音监控的准确性.
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
- 数字健康数字健康
背景情况:
- 智能手机应用程序在慢性语音障碍中提供了家庭语音监控的潜力.
- 现有的应用程序通常需要不自然的智能手机定位,限制用户交互和生态有效性.
- 需要评估智能手机的自然位置,以进行准确的声学语音分析.
研究的目的:
- 研究智能手机自然位置对声学语音测量的准确性的影响.
- 将智能手机衍生的声学测量与高质量的临床记录设备的声学测量进行比较.
- 确定使用现有智能手机技术用于语音障碍监测的可行性.
主要方法:
- 56名成年人 (11名健康,45名有语音障碍) 使用智能手机在四个自然位置记录了他们的声音.
- 使用头戴式麦克风和手持式音响录音机捕获了同时进行的语音录音.
- 分析了声学测量,包括基本频率,最大发声时间,面峰突出度和光谱测量.
主要成果:
- 平均基本频率和最大发声时间没有受到智能手机位置的显著影响.
- 与手持录音相比,智能手机录音中的Cepstral峰值突出程度较低.
- 频谱测量受智能手机位置和记录设备的影响,表明了变化.
结论:
- 自然的智能手机位置是可行的,以捕捉某些声音声学措施在家中的设置.
- 由于智能手机和临床记录之间的差异,诸如塞普斯特拉峰值突出和光谱测量等特定测量需要仔细考虑.
- 需要进一步的研究来优化基于智能手机的语音分析,以获得临床可比性和可靠性.
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