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Unilateral Front-end Processing

Program: 
R2
Project area: 
R2.4: Unilateral Front-end Processing
Project-ID: 
R2.4.1
Project Status: 
Ongoing

Background

Understanding speech in environments where significant noise is present is a challenging task for the majority of cochlear implantees.  Whilst algorithms exist which attempt to improve the comfort of listening in noise for implantees, none are capable of improving speech intelligibility. 

Recent research based on the principles of auditory binary masking, has demonstrated that significant improvements in speech understanding can be achieved in cochlear implantees when the true signal to noise ratio is employed to select the channels that are delivered to the implant.  This research is in contrast to the conventional wisdom employed in cochlear implant processing whereby channels are selected based on their amplitude. 

Detail

The work contained within this project will explore the use of channel selection based on real-time signal to noise estimates in conjunction with either binary or non-linear masking techniques in cochlear implantees. Such a processing technique may be applicable to address noise types such as multi-talker speech, stationary and wind noise.

All algorithms will be developed within Simulink and tested for efficacy both on the bench and clinically using the real-time system. Targeted noise sources include, white noise, multi-talker babble and wind noise.

Project leadership

 

Project Team

Stefan Mauger, Yanyou Yu