Paper Info
Title
A generalized data-driven speech enhancement framework for bilateral cochlear implants
Abstract
This paper examines environment-adaptive noise suppression algorithms for computationally efficient or real-time implementation in bilateral cochlear implants using a single processor. A generalized framework is introduced that allows one to train suppression and head-related transfer function gain tables not only for different noise environments but also for different distortion measures. This generalization incorporates any differentiable measure with unilateral data-driven enhancement methods becoming its special cases. Specifically, the solutions for three distortion measures of Weighted-Euclidean, Log-Euclidean and Weighted-Cosh are provided. These solutions are evaluated in six commonly encountered noise environments for a wide range of directionalities.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6639074
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
cochlear implants,distortion,signal denoising,speech enhancement,transfer functions,bilateral cochlear implants,environment-adaptive noise suppression algorithms,generalized data-driven speech enhancement framework,head-related transfer function gain tables,log-Euclidean distortion measures,noise environments,single processor,unilateral data-driven enhancement methods,weighted-Euclidean distortion measures,weighted-cosh distortion measures,Bilateral cochlear implants,data-driven speech enhancement,environment-adaptive noise suppression,generalized data-driven speech enhancement
Speech enhancement,Noise suppression,Data-driven,Computer science,Speech recognition,Differentiable function,Transfer function,Distortion
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.39
References 
Authors
12
2
Name
Order
Citations
PageRank
Taher S Mirzahasanloo1273.64
Nasser D. Kehtarnavaz253466.02