MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input
Journal:
arXiv
Published Date:
May 4, 2025
Abstract
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.
