Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise

Phyu P. Khing, Eliathamby Ambikairajah, Brett A. Swanson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

The aim of this study was to predict the effects of automatic gain control (AGC) on the speech intelligibility of cochlear implant recipients in noise. Two simple signal metrics were calculated: the proportion of clipping, and the output signal-to-noise ratio (SNR). Psychometric functions were fitted to the percent correct scores averaged over five cochlear implant recipients for three different AGC conditions, at two different input SNRs, for a range of presentation levels. The output SNR was a good predictor of the recipients' mean scores.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages8061-8065
Number of pages5
ISBN (Electronic)9781479903566
DOIs
Publication statusPublished - 18 Oct 2013
Externally publishedYes
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • AGC
  • cochlear implant
  • psychometric fit
  • SNR
  • speech intelligibility

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