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 language | English |
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Title of host publication | Proceedings of 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 2013 |
ISBN (Print) | 978-1-4799-0972-8/ |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - Mohonk Mountain House , New Paltz, United States Duration: 20 Oct 2013 → 23 Oct 2013 |
Conference
Conference | 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
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Location | Mohonk Mountain House |
Country/Territory | United States |
City | New Paltz |
Period | 20/10/2013 → 23/10/2013 |
Keywords
- Cochlear implant
- Speech coding
- Sparse coding
- Matching pursuit (MP)
- Continuous interleaved sampling (CIS)
- Normalized covariance metric (NCM)