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In this paper we present an approach for efficiently computing a compact temporal/spectral feature set for representing a segment of speech, with effective resolution depending on both frequency and time position within the segment. The goal is to mimic the resolution properties of the human auditory system, but using a computationally efficient FFT-based(More)
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