Wearable Non-Invasive Silent Speech Interface

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A system may detect silent, internal articulation of words by a human user, by measuring low-voltage electrical signals at electrodes positioned on a user's skin. The measured signals may have been generated by neural activation of speech articulator muscles during the internal articulation. The system may detect the content of internally articulated words even though the internal articulation may be silent, may occur even when the user is not exhaling, and may occur without muscle movement that is detectable by another person. The system may react in real-time to this detected content. In some cases, the system reacts by providing audio feedback to the user via an earphone or a bone conduction transducer. In other cases, the system reacts by controlling another device, such as a luminaire or television. In other cases, the system reacts by sending a message to a device associated with another person. 

Researchers

Patricia Maes / Shreyas Kapur / Arnav Kapur

Departments: Program in Media Arts and Sciences
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML)
Impact Areas: Connected World

  • methods and apparatus for silent speech interface
    United States of America | Granted | 10,878,818

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