音频数据压缩对声部生物标记检测特征提取的影响:验证研究
Jessica Oreskovic1, Jaycee Kaufman1, Yan Fossat1
1Klick Labs, Toronto, ON, Canada.
JMIR biomedical engineering
|June 14, 2024
概括
音频数据压缩会影响声乐生物标志物,一些特征在各种格式中保持稳定. 媒体人 (MH) 和FFmpeg转换器显示出更大的弹性,这对于使用压缩语音数据的医疗保健应用程序至关重要.
科学领域:
- 生物医学工程 生物医学工程
- 声学分析 声学分析
- 数字信号处理 数字信号处理
背景情况:
- 声声生物标志物提供非侵入性医学查和诊断.
- 之前的研究表明,通过语言预测2型糖尿病的可行性.
- 这项研究研究了音频压缩对声乐生物标志物发育的影响.
研究的目的:
- 分析MP3,M4A和WMA压缩如何影响语音生物标记特征.
- 评估3个转换工具和2个比特率对特征检测的影响.
- 为了确定音频压缩对声学声乐生物标志物发展的影响.
主要方法:
- 在320和128 kbps的速度下,将未压缩的语音样本转换为MP3,M4A,WMA进行了比较.
- 使用了MediaHuman (MH),WonderShare (WS) 和FFmpeg的转换工具.
- 从 17,298 个智能手机录音中提取了诸如音调,动,强度和 Mel 频率 cepstral 系数 (MFCC) 等特征.
- 应用威尔科克森签名等级测试和邦费罗尼校正用于统计分析.
主要成果:
- 压缩对各种语音特征和MFCC产生了重大影响.
- 媒体人 (MH) 转换器显示出比WonderShare (WS) 更大的弹性.
- 在各种转换方法中,语音特征表现出比Mel频 cepstral 系数 (MFCC) 更大的稳定性.
- 压缩效应是特征特定的,一些特征被持续改变.
结论:
- 音频压缩对声乐生物标志物的影响是特征特定的.
- 媒体人 (MH) 和FFmpeg转换器对压缩更有弹性.
- 了解功能稳定性对于使用压缩语音数据的诊断应用程序至关重要.
- 研究结果支持在医疗保健应用中使用压缩音频数据的稳定声格特征.
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