Silent Speech Model
A groundbreaking collaborative effort reveals a unique approach to understanding silent speech through brain activity. By tracking a participant's attempts to silently vocalize sentences, the team utilizes this data to train their models, highlighting the potential of machine learning in interpreting non-verbal communication. This innovative method relies solely on brain signals, without the need for acoustics or facial tracking.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
724: Decoding Speech from Raw Brain Activity — with Dr. David Moses
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