Technical Program

Paper Detail

Paper:	SLP-P21.8
Session:	Speech Detection, Enhancement and Analysis
Time:	Friday, May 19, 16:30 - 18:30
Presentation:	Poster
Topic:	Speech and Spoken Language Processing: Speech Analysis
Title:	Separation of SNR via Dimension Expansion in a Model of the Central Auditory System
Authors:	Woojay Jeon, Biing-Hwang Juang, Georgia Institute of Technology, United States
Abstract:	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 analyze 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 will be also demonstrated experimentally.