Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features

Abstract

The Mel Frequency Cepstral Coefficients (MFCCs) are widely used in order to extract essential information from a voice signal and became a popular feature extractor used in audio processing. However, MFCC features are usually calculated from a single window (taper) characterized by large variance. This study shows investigations on reducing variance for the… (More)
DOI: 10.1155/2015/956249

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