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Robust voice based features for biometric authentication in noisy environments are proposed. The proposed processing includes gamma tone auditory bandpass filtering of speech signal, rectification, and compression to model the effects of the auditory system periphery. Three features are extracted by applying independent component analysis to the frequency, cepstral and auto-correlogram domains of...
In this paper, we present a novel algorithm specifically designed for speaker identification applications. The proposed algorithm is an extension of the previously developed Gammatone auditory filterbank and independent component analysis (GTF-ICA) method. GTF-ICA extracts features which emphasis the difference in the statistical structures in human cochlea frequency bands among the speakers. This...
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