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Performance Evaluation Framework for Contact Microphones: A Controlled Laboratory Study for Voice Research.

Adrián Castillo-Allendes1, Fernanda Figueroa-Martínez2, Mark Berardi3

  • 1Michigan State University, Communicative Sciences and Disorders, East Lansing, Michigan; The University of Iowa, Communication Sciences and Disorders, Iowa City, Iowa.

Journal of Voice : Official Journal of the Voice Foundation
|December 11, 2025
PubMed
Summary

A new standardized shaker platform (SSP) allows for reproducible evaluation of low-cost contact microphones (CMs). This framework enables systematic benchmarking of vibratory sensing tools for voice monitoring applications.

Keywords:
AccelerometerAcoustic voice metricsContact microphoneVoice assessmentVoice monitoring

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Area of Science:

  • Engineering
  • Biomedical Engineering
  • Sensor Technology

Background:

  • Low-cost contact microphones (CMs) are crucial for voice monitoring in noisy or hardware-constrained environments.
  • Standardized calibration methods for CMs are lacking, unlike those for accelerometers.
  • A novel standardized shaker platform (SSP) is introduced for evaluating CM vibratory performance.

Purpose of the Study:

  • To introduce and validate a standardized shaker platform (SSP) for evaluating contact microphones (CMs).
  • To demonstrate the analytic sensitivity and reproducibility of the SSP framework.
  • To enable systematic comparison and benchmarking of low-cost CMs.

Main Methods:

  • A laboratory-based experimental design using a custom steel-plate SSP.
  • Evaluation of six commercial low-cost CMs using a broadband logarithmic sweep (50 Hz-3 kHz).
  • Calibration using a reference accelerometer and computation of signal-to-noise ratio (SNR), spectral sensitivity, and response flatness via MATLAB.

Main Results:

  • The SSP demonstrated high repeatability and analytic sensitivity across tested CMs.
  • Optimal CM sensitivity was observed within the voice fundamental frequency (80-300 Hz) and first harmonic (300-1000 Hz) ranges.
  • Distinct spectral and SNR patterns revealed performance differences between CMs, highlighting the system's resolution capabilities.

Conclusions:

  • The developed SSP provides a standardized, low-cost, and reproducible method for quantitative CM evaluation.
  • This framework facilitates cross-sensor benchmarking for vibratory sensing tools.
  • The SSP supports future research and clinical translation of affordable voice monitoring technologies.