Towards Decoding Brain Activity During Passive Listening of Speech

arXiv:2402.16996v1 Announce Type: cross
Abstract: The aim of the study is to investigate the complex mechanisms of speech perception and ultimately decode the electrical changes in the brain accruing while listening to speech. We attempt to decode heard speech from intracranial electroencephalographic (iEEG) data using deep learning methods. The goal is to aid the advancement of brain-computer interface (BCI) technology for speech synthesis, and, hopefully, to provide an additional perspective on the cognitive processes of speech perception. This approach diverges …

abstract aim arxiv brain brain activity cs.hc cs.lg cs.sd data decode decoding deep learning eess.as perception q-bio.nc speech study type