SUPPRESSIONS OF BASILAR MEMBRANE VIBRATIONS IN A NONLINEAR MODEL OF THE MAMMALIAN COCHLEA

2000 ◽  
Author(s):  
C. D. GEISLER ◽  
C. SANG
Keyword(s):  
Nonlinear Model ◽  
Basilar Membrane ◽  
Membrane Vibrations

scholarly journals A Sound Processor for Cochlear Implant Using a Simple Dual Path Nonlinear Model of Basilar Membrane

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Kyung Hwan Kim ◽  
Sung Jin Choi ◽  
Jin Ho Kim
Keyword(s):  
Frequency Response ◽  
Nonlinear Model ◽  
Basilar Membrane ◽  
Frequency Component ◽  
Dominant Frequency ◽  
Response Characteristics ◽  
Frequency Decomposition ◽  
Dependent Frequency ◽  
Filter Array ◽  
Dual Resonance

We propose a new active nonlinear model of the frequency response of the basilar membrane in biological cochlea called the simple dual path nonlinear (SDPN) model and a novel sound processing strategy for cochlear implants (CIs) based upon this model. The SDPN model was developed to utilize the advantages of the level-dependent frequency response characteristics of the basilar membrane for robust formant representation under noisy conditions. In comparison to the dual resonance nonlinear model (DRNL) which was previously proposed as an active nonlinear model of the basilar membrane, the SDPN model can reproduce similar level-dependent frequency responses with a much simpler structure and is thus better suited for incorporation into CI sound processors. By the analysis of dominant frequency component, it was confirmed that the formants of speech are more robustly represented after frequency decomposition by the nonlinear filterbank using SDPN, compared to a linear bandpass filter array which is used in conventional strategies. Acoustic simulation and hearing experiments in subjects with normal hearing showed that the proposed strategy results in better syllable recognition under speech-shaped noise compared to the conventional strategy based on fixed linear bandpass filters.

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