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Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.

Miguel Angrick1, Shiyu Luo2, Qinwan Rabbani3

  • 1Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Medrxiv : the Preprint Server for Health Sciences
|July 10, 2023
PubMed
Summary
This summary is machine-generated.

This study demonstrates a brain-computer interface (BCI) that synthesizes intelligible speech in real-time for individuals with amyotrophic lateral sclerosis (ALS). This BCI allows people with speech impairments to communicate using their own voice profile.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Speech Synthesis

Background:

  • Intracranial electrodes can reconstruct speech from brain activity, but typically rely on retrospective analysis.
  • Previous research involved temporary implants in individuals without speech impairments.
  • Amyotrophic lateral sclerosis (ALS) causes progressive dysarthria, severely impacting communication.

Approach:

  • Developed and tested a chronically implanted brain-computer interface (BCI) in a clinical trial participant with ALS.
  • The BCI performed online synthesis of intelligible words from a 6-keyword vocabulary.
  • Focused on real-time speech generation for communication.

Key Points:

  • Achieved reliable, online synthesis of intelligible words using a chronically implanted BCI.
  • Demonstrated that a participant with ALS could freely choose and synthesize spoken commands.
  • The synthesized speech preserved the participant's unique voice profile.

Conclusions:

  • This research marks the first successful use of a chronically implanted BCI for real-time speech synthesis in an individual with ALS.
  • The BCI provides a reliable method for restoring communication for individuals with severe speech impairments.
  • Future applications may extend to broader communication needs for patients with neurological disorders affecting speech.