A Methodology for speaker-dependent acoustic features based on a simplified cortical response for speaker verification systems
Paper in proceedings, 2009

Recently, the incorporation of the research done in biologically inspired systems has shown satisfactory results. A promising research area is the understanding of the human auditory systems and its performance under noisy conditions. Moreover, the incorporation of brain functions (cortical response) as an active part of the auditory system seems a viable alternative to increase the robustness of speech and speaker recognition systems. In this study, we propose a simplified model of the mammalian central auditory system for speaker verification systems. This model is based on a dimension expansion representation, attempting to capture the response of the cortical cells. Then, by means of the Principal Component Analysis (PCA) approach, we reduce the dimensionality and create speakerdependent features. Our results showed that by using our modeling technique, we were able to improve the performance of speaker verification systems.

Author

Guillermo Garcia

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

17th European Signal Processing Conference, EUSIPCO 2009; Glasgow; United Kingdom; 24 August 2009 through 28 August 2009

2219-5491 (ISSN)

1240-1243

Subject Categories

Signal Processing

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Created

10/8/2017