Reconstructing Speech from Human Auditory Cortex
University of California, Berkeley · University of Maryland, College Park · +3 more institutions
Abstract
How the human auditory system extracts perceptually relevant acoustic features of speech is unknown. To address this question, we used intracranial recordings from nonprimary auditory cortex in the human superior temporal gyrus to determine what acoustic information in speech sounds can be reconstructed from population neural activity. We found that slow and intermediate temporal fluctuations, such as those corresponding to syllable rate, were accurately reconstructed using a linear model based on the auditory spectrogram. However, reconstruction of fast temporal fluctuations, such as syllable onsets and offsets, required a nonlinear sound representation based on temporal modulation energy. Reconstruction…
Citation impact
- FWCI
- 23.88
- Percentile
- 100%
- References
- 64
Authors
8- BNBrian N. PasleyCorresponding
University of California, Berkeley
- SVStephen V. David
University of Maryland, College Park
- NMNima Mesgarani
University of Maryland, College Park, Neurological Surgery, University of California, San Francisco
- AFAdeen Flinker
University of California, Berkeley
- SSShihab Shamma
University of Maryland, College Park
Topics & keywords
- Auditory cortex
- Spectrogram
- Speech recognition
- Natural sounds
- Superior temporal gyrus
- Neural coding
- Auditory system
- Human brain