Error Metrics for Impaired Auditory Nerve Responses of Different Phoneme Groups

Andrew Hines, Naomi Harte

Research output: Contribution to conferencePaperpeer-review

Abstract

An auditory nerve model allows faster investigation of new signal processing algorithms for hearing aids. This paper presents a study of the degradation of auditory nerve (AN) responses at a phonetic level for a range of sensorineural hearing losses and flat audiograms. The AN model of Zilany & Bruce was used to compute responses to a diverse set of phoneme rich sentences from the TIMIT database. The characteristics of both the average discharge rate and spike timing of the responses are discussed. The experiments demonstrate that a mean absolute error metric provides a useful measure of average discharge rates but a more complex measure is required to capture spike timing response errors.
Original languageEnglish
DOIs
Publication statusPublished - 2009
EventINTERSPEECH - Brighton, United Kingdom
Duration: 6 Sep 200910 Sep 2009

Conference

ConferenceINTERSPEECH
Country/TerritoryUnited Kingdom
CityBrighton
Period6/09/0910/09/09

Keywords

  • auditory nerve model
  • signal processing algorithms
  • hearing aids
  • sensorineural hearing losses
  • flat audiograms
  • phoneme rich sentences
  • TIMIT database
  • average discharge rate
  • spike timing
  • mean absolute error metric

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