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Artificial intelligence enabled smart mask for speech recognition for future hearing devices.

Hira Hameed1, Lubna1,2, Muhammad Usman3

  • 1James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.

Scientific Reports
|December 3, 2024
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Summary
This summary is machine-generated.

This study introduces a novel Radio Frequency Identification (RFID)-based smart mask for lip-reading, enabling speech recognition even with face masks. The RFID system achieves 80% accuracy, improving accessibility for the hearing impaired.

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Area of Science:

  • Biomedical Engineering
  • Machine Learning
  • Human-Computer Interaction

Background:

  • Lip-reading technologies face limitations like occlusion, lighting issues, privacy concerns, and discomfort.
  • The COVID-19 pandemic and widespread mask usage render current vision-based and wearable lip-reading systems ineffective.
  • Existing methods struggle with real-world usability and accessibility for individuals with hearing impairments.

Purpose of the Study:

  • To develop an effective lip-reading framework that overcomes the limitations of existing technologies, particularly under face masks.
  • To introduce a Radio Frequency Identification (RFID)-based smart mask for non-invasive and accurate lip movement analysis.
  • To enhance speech recognition and conversational accessibility for individuals with hearing impairment.

Main Methods:

  • A smart RFID face mask was designed and utilized to collect speech data based on lip movements.
  • A dataset comprising vowels (A, E, I, O, U), consonants (F, G, M, S), and specific words was created using the RFID mask.
  • Collected RFID data were processed and classified using established machine learning models, including Random Forest.

Main Results:

  • The RFID-based lip-reading system demonstrated high classification accuracy across individual and combined datasets.
  • The Random Forest model achieved a notable classification accuracy of 80% on the combined RFID dataset.
  • The proposed system successfully enabled lip-reading under face masks, validating its effectiveness.

Conclusions:

  • The RFID-based smart mask offers a viable solution for lip-reading challenges, especially in environments where face coverings are necessary.
  • This technology significantly improves speech recognition capabilities and promotes greater conversational accessibility for the hearing impaired.
  • The study highlights the potential of Radio Frequency (RF) sensing for developing next-generation assistive communication devices.