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MagTrack: A Wearable Tongue Motion Tracking System for Silent Speech Interfaces.

Beiming Cao1,2, Shravan Ravi3, Nordine Sebkhi4

  • 1Department of Electrical and Computer Engineering, The University of Texas at Austin.

Journal of Speech, Language, and Hearing Research : JSLHR
|May 5, 2023
PubMed
Summary

MagTrack, a new wearable electromagnetic articulograph, shows promise for silent speech interfaces. It achieved high accuracy in vowel classification and comparable results to commercial devices in continuous speech recognition.

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Area of Science:

  • Biomedical Engineering
  • Speech Technology
  • Wearable Devices

Background:

  • Current electromagnetic tongue tracking devices are limited for daily use, hindering applications like silent speech interfaces.
  • A novel wearable electromagnetic articulograph, MagTrack, has been developed to address these limitations.

Purpose of the Study:

  • To validate the performance of MagTrack for potential silent speech interface applications.
  • To compare MagTrack's efficacy against commercial electromagnetic articulograph systems.

Main Methods:

  • Two experiments were conducted: isolated vowel classification and continuous silent speech recognition using MagTrack data from healthy adult speakers.
  • Performance metrics included classification accuracy for vowels and phoneme error rates for continuous speech.
  • Results were benchmarked against data from a commercial electromagnetic articulograph.

Main Results:

  • MagTrack achieved 89.74% accuracy in isolated vowel classification, outperforming previous results with commercial devices.
  • Continuous silent speech recognition yielded phoneme error rates of 73.92% and 66.73% for two subjects.
  • MagTrack demonstrated comparable performance to commercial systems when using similar localized information.

Conclusions:

  • MagTrack shows potential for silent speech interfaces as a lightweight, wearable device.
  • Incorporating raw magnetic signals could further enhance MagTrack's performance.
  • This technology may also support speech therapy and language learning applications.