Study Maps Brain’s Real-Time Speech Processing Using AI and Electrocorticography

Researchers have developed a computational framework to examine how the human brain processes speech during real-world conversations. The study utilized electrocorticography (ECoG) alongside artificial intelligence-based speech models to analyze over 100 hours of brain activity. Findings indicate that distinct regions of the brain handle various aspects of language, including sounds, speech patterns, and word meanings, in a sequential manner.

The research revealed that the brain processes language by transitioning from thought to speech before verbalizing it and then working backward to interpret spoken words. This sequence highlights the intricate mechanisms underlying communication. By combining ECoG data with advanced AI tools, researchers were able to map these processes in detail, offering insights into how different areas of the brain contribute to understanding and producing language during natural conversations.

Date: 12 March, 2025

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Author

Mark Chiang

Ph.D in Biomedical Informatics Head of AI at GeneOnline