用贴片式压电传感器捕捉口罩振动，实现降噪语音输入
MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input
- 通过贴在口罩上的压电传感器捕捉说话时的表面振动
- 噪声环境下字符错误率仅6.1%，优于传统麦克风
- 无需额外计算资源，适合医疗等防护场景
口罩在医疗环境和疫情中至关重要，但严重阻碍语音沟通，尤其在背景噪声下。现有方案常需大量计算资源或牺牲卫生与舒适性。我们提出一种新传感方法，利用压电传感器检测口罩表面振动，仅捕捉佩戴者语音。开发的MaskClip设备采用不锈钢夹具，优化压电传感器位置，可选择性采集语音振动并天然滤除环境噪声。实验评估显示，在嘈杂环境中字符错误率低至6.1%，显著优于传统麦克风。102名参与者主观评价满意度高。该方法适用于需佩戴防护装备仍保持清晰语音通信的场景，如医疗机构、洁净室和工业环境。
原文摘要 · Abstract (English)
Masks are essential in medical settings and during infectious outbreaks but significantly impair speech communication, especially in environments with background noise. Existing solutions often require substantial computational resources or compromise hygiene and comfort. We propose a novel sensing approach that captures only the wearer's voice by detecting mask surface vibrations using a piezoelectric sensor. Our developed device, MaskClip, employs a stainless steel clip with an optimally positioned piezoelectric sensor to selectively capture speech vibrations while inherently filtering out ambient noise. Evaluation experiments demonstrated superior performance with a low Character Error Rate of 6.1\% in noisy environments compared to conventional microphones. Subjective evaluations by 102 participants also showed high satisfaction scores. This approach shows promise for applications in settings where clear voice communication must be maintained while wearing protective equipment, such as medical facilities, cleanrooms, and industrial environments.
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