Conference paper
Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 1-4 |
| Proceedings: | 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2013) |
| ISBN: | 147990970X , 147990970x , 1479909726 , 9781479909704 and 9781479909728 |
| ISSN: | 19471610 and 19311168 |
| Types: | Conference paper |
| DOI: | 10.1109/WASPAA.2013.6701878 |
Cochlear implant Cochlear implants Dictionaries Encoding IBM Matching pursuit algorithms NCM Noise Speech cochlear implant recipients cochlear implants coding strategy continuous interleaved sampling (CIS) ideal binary mask iterative methods listening environments matching pursuit (MP) medical signal processing modified MP strategy noise fluctuation noise interference normalized covariance metric normalized covariance metric (NCM) partial objective intelligibility restoration simulated cochlear implant processor sparse approximation algorithm matching pursuit sparse coding spectral information speech coding speech intelligibility speech reception speech understanding time-frequency analysis vocoded speech
