Fractional Fourier transform features for speech recognition

Abstract

In this paper a novel speech signal representation method is presented. The proposed method is based on the fractional Fourier transform (FrFT), which is a generalization of the classical Fourier transform (FT). Even though we use FrFT in feature extraction for speech recognition, it can very well be used in other areas such as enhancement, verification, and synthesis, where parametric representation of speech is needed. Experimental results conducted on the Aurora 2 database show significant improvements over MFCC at high SNR conditions.