Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit

Abigail Anne Kressner, Christopher J. Rozell

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Speech reception is poor for cochlear implant recipients in listening environments with interfering noise. This study investigates the speech understanding provided in interfering noise by a coding strategy based on the sparse approximation algorithm matching pursuit (MP) and additionally proposes two modifications to the strategy. The levels of spectral information provided by the MP strategy and the modified MP strategy are compared to that of continuous interleaved sampling (CIS) and a strategy based on the ideal binary mask (IBM) using vocoded speech and the normalized covariance metric (NCM). We demonstrate objective intelligibility improvements in quiet, and total and partial objective intelligibility restoration in steady-state and fluctuating noise, respectively
Original languageEnglish
Title of host publicationProceedings of 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Number of pages4
PublisherIEEE
Publication date2013
ISBN (Print)978-1-4799-0972-8/
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - Mohonk Mountain House , New Paltz, United States
Duration: 20 Oct 201323 Oct 2013

Conference

Conference2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
LocationMohonk Mountain House
Country/TerritoryUnited States
CityNew Paltz
Period20/10/201323/10/2013

Keywords

  • Cochlear implant
  • Speech coding
  • Sparse coding
  • Matching pursuit (MP)
  • Continuous interleaved sampling (CIS)
  • Normalized covariance metric (NCM)

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