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In this paper, we present a robust feature extraction algorithm based on auditory periphery model for Speech Recognition. At the front-end, a normalized filter bank based on Gammatone filtering is applied to the speech spectra followed by a power law non-linearity. Experiments show that the proposed features named as EFCCs (ERB scale cepstral coefficients)(More)
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