Sparse Nonnegative Matrix Factorization Strategy for Cochlear Implants
Current cochlear implant (CI) strategies carry speech information via the waveform envelope in frequency subbands. CIs require efficient speech processing to maximize information transfer to the brain, especially in background noise, where the speech envelope is not robust to noise interference. In...
Main Authors: | Hu, Hongmei, Lutman, Mark E., Ewert, Stephan D., Li, Guoping, Bleeck, Stefan |
---|---|
Format: | Online |
Language: | English |
Published: |
SAGE Publications
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4771045/ |
Similar Items
-
Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target
by: Hu, Hongmei, et al.
Published: (2013) -
Sparse nonnegative matrix factorization with ℓ0-constraints
by: Peharz, Robert, et al.
Published: (2012) -
Parameter selection for nonnegative l1 matrix/tensor sparse decomposition
by: Wang, Y., et al.
Published: (2015) -
?-Divergence two-dimensional nonnegative matrix factorization with sparseness constraints for biomedical signal separation
by: Jawatankuasa Kerja PSM UTeM
Published: (2017) -
Linear Program Relaxation of Sparse Nonnegative Recovery in Compressive Sensing Microarrays
by: Qin, Linxia, et al.
Published: (2012)