emg2speech: synthesizing speech from electromyography using self-supervised speech models
PositiveArtificial Intelligence
Researchers have developed an innovative neuromuscular speech interface that converts electromyographic signals from facial muscles into audio. This breakthrough utilizes self-supervised speech models, demonstrating a strong correlation between muscle activity and speech production. With a correlation coefficient of 0.85, this technology could significantly enhance communication for individuals with speech impairments, making it a vital advancement in assistive technology.
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