Phoneme representation and classification in primary auditory cortex

Nima Mesgarani, Stephen V. David, Jonathan B. Fritz, Shihab A. Shamma

Research output: Contribution to journalArticle

121 Scopus citations

Abstract

A controversial issue in neurolinguistics is whether basic neural auditory representations found in many animals can account for human perception of speech. This question was addressed by examining how a population of neurons in the primary auditory cortex (A1) of the naïve awake ferret encodes phonemes and whether this representation could account for the human ability to discriminate them. When neural responses were characterized and ordered by spectral tuning and dynamics, perceptually significant features including formant patterns in vowels and place and manner of articulation in consonants, were readily visualized by activity in distinct neural subpopulations. Furthermore, these responses faithfully encoded the similarity between the acoustic features of these phonemes. A simple classifier trained on the neural representation was able to simulate human phoneme confusion when tested with novel exemplars. These results suggest that A1 responses are sufficiently rich to encode and discriminate phoneme classes and that humans and animals may build upon the same general acoustic representations to learn boundaries for categorical and robust sound classification.

Original languageEnglish (US)
Pages (from-to)899-909
Number of pages11
JournalJournal of the Acoustical Society of America
Volume123
Issue number2
DOIs
StatePublished - Feb 11 2008

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

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