Speech from Brain Activity
A groundbreaking approach reveals how brain activity from individuals with paralysis can be transformed into speech sounds. By utilizing Hubert units, a self-supervised model, researchers can navigate the complexities of acoustic representation, bridging neuroscience and speech technology. This innovative work not only enhances our understanding of speech processing but also holds promise for future applications that could significantly benefit patients.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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