An information theoretic tool for investigating speech perception

Bryce Lobdell, Jont Allen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for investigating human speech perception that combines information about human perception of speech, auditory modeling, signal detection theory, and information theory is described. For that purpose, a model for detection of signals in the auditory nerve is developed and used to analyze speech sounds. Examples are given that combine detectability information with P(heard = h|spoken = s) to access information about "cues" to some some speech sounds. These example agree qualitatively with previous results about perception of these sounds. Refinements and prospects for this approach are discussed in light of the examples.

Original languageEnglish (US)
Title of host publicationINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Pages853-856
Number of pages4
Volume2
StatePublished - 2006
EventINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP - Pittsburgh, PA, United States
Duration: Sep 17 2006Sep 21 2006

Other

OtherINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
CountryUnited States
CityPittsburgh, PA
Period9/17/069/21/06

Keywords

  • Auditory modeling
  • Auditory nerve
  • Information theory
  • Signal detection theory
  • Speech perception

ASJC Scopus subject areas

  • Computer Science(all)

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    Lobdell, B., & Allen, J. (2006). An information theoretic tool for investigating speech perception. In INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP (Vol. 2, pp. 853-856)