Paper Info
Title
Real-time dual-microphone noise classification for environment-adaptive pipelines of cochlear implants.
Abstract
This paper presents an improved noise classification in environment-adaptive speech processing pipelines of cochlear implants. This improvement is achieved by using a dual-microphone and by using a computationally efficient feature-level combination approach to achieve real-time operation. A new measure named Suppression Advantage is also defined in order to quantify the noise suppression improvement of an entire pipeline due to noise classification. The noise classification and suppression improvement results are presented for four commonly encountered noise environments.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610742
EMBC
Keywords
Field
DocType
noise suppression,signal denoising,speech processing,cochlear implants,environment adaptive speech processing pipelines,real time dual microphone noise classification,microphones,suppression advantage measure,medical signal processing,environment adaptive pipelines,feature level combination approach,noise,pipelines,real time systems,speech
Speech processing,Noise classification,Pipeline transport,Noise suppression,Computer science,Speech recognition,Electronic engineering,Microphone
Conference
Volume
ISSN
Citations 
2013
1557-170X
2
PageRank 
References 
Authors
0.46
7
2
Name
Order
Citations
PageRank
Taher S Mirzahasanloo1273.64
Nasser D. Kehtarnavaz253466.02