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Efficient coding in human auditory perception.

Authors
  • 1
Type
Published Article
Journal
The Journal of the Acoustical Society of America
1520-8524
Publication Date
Volume
126
Issue
3
Pages
1312–1320
Identifiers
DOI: 10.1121/1.3158939
PMID: 19739745
Source
Medline

Abstract

Natural sounds possess characteristic statistical regularities. Recent research suggests that mammalian auditory processing maximizes information about these regularities in its internal representation while minimizing encoding cost [Smith, E. C. and Lewicki, M. S. (2006). Nature (London) 439, 978-982]. Evidence for this "efficient coding hypothesis" comes largely from neurophysiology and theoretical modeling [Olshausen, B. A., and Field, D. (2004). Curr. Opin. Neurobiol. 14, 481-487; DeWeese, M., et al. (2003). J. Neurosci. 23, 7940-7949; Klein, D. J., et al. (2003). EURASIP J. Appl. Signal Process. 7, 659-667]. The present research provides behavioral evidence for efficient coding in human auditory perception using six-channel noise-vocoded speech, which drastically limits spectral information and degrades recognition accuracy. Two experiments compared recognition accuracy of vocoder speech created using theoretically-motivated, efficient coding filterbanks derived from the statistical regularities of speech against recognition using standard cochleotopic (logarithmic) or linear filterbanks. Recognition of the speech created using efficient encoding filterbanks was significantly more accurate than either of the other classes. These findings suggest potential applications to cochlear implant design.

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