Phonetic Feature Encoding in Human Superior Temporal Gyrus
Author(s) -
Nima Mesgarani,
Connie Cheung,
Keith Johnson,
Edward F. Chang
Publication year - 2014
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.1245994
Subject(s) - feature (linguistics) , perspective (graphical) , superior temporal gyrus , computer science , speech recognition , encoding (memory) , psychology , linguistics , neuroscience , artificial intelligence , functional magnetic resonance imaging , philosophy
During speech perception, linguistic elements such as consonants and vowels are extracted from a complex acoustic speech signal. The superior temporal gyrus (STG) participates in high-order auditory processing of speech, but how it encodes phonetic information is poorly understood. We used high-density direct cortical surface recordings in humans while they listened to natural, continuous speech to reveal the STG representation of the entire English phonetic inventory. At single electrodes, we found response selectivity to distinct phonetic features. Encoding of acoustic properties was mediated by a distributed population response. Phonetic features could be directly related to tuning for spectrotemporal acoustic cues, some of which were encoded in a nonlinear fashion or by integration of multiple cues. These findings demonstrate the acoustic-phonetic representation of speech in human STG.
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