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Separation of Snr Via Dimension Expansion in a Model of the Central Auditory System

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2 Author(s)
Woojay Jeon ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol. ; Biing-Hwang Juang

In this study, we provide a theoretical approach for analyzing signal and noise separation and the noise-robustness of class-dependent activation areas in a model of the primary auditory cortex in the central auditory system. Specifically, we interpret the auditory model as a system of localized matched filters that act as a place-coding mechanism for mapping signal and noise spectra into separate regions in the three-dimensional cortical space. This framework allows us to analyse the noise robustness of signal-respondent neurons by computing their signal-to-noise ratio (SNR)'s without having to explicitly consider the complex mathematical expressions for the auditory model. The framework is also fundamentally consistent with the notion of category-dependence proposed in our previous work. Our theoretical developments of the place-coding effect and the separation of SNR is also demonstrated experimentally

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:1 )

Date of Conference:

14-19 May 2006

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