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In this paper, we show that frequency-warping (including VTLN) can be implemented through linear transformation of conventional MFCC. Unlike the Pitz-Ney [1] continuous domain approach, we directly determine the relation between frequency-warping and the linear-transformation in the discrete-domain. The advantage of such an approach is that it can be(More)
In this paper, we present results of non-uniform vowel normaliza-tion and show that the frequency-warping necessary to do non-uniform vowel normalization is similar to the mel-scale. We compare our methods to Fant's non-uniform vowel normalization method and show that with proposed frequency warping approach we can achieve similar performance without any(More)
In this paper, we study the use of different frequency warp-factors for different acoustic classes in a computationally efficient framework of Vocal Tract Length Normalization (VTLN). This is motivated by the fact that all acoustic classes do not exhibit similar spectral variations as a result of physiological differences in vocal tract, and therefore, the(More)
It is common to use a single speaker independent large Gaussian Mixture Model based Universal Background Model (GMM-UBM) as the alternative hypothesis for speaker verification tasks. The speaker models are themselves derived from the UBM using Maximum a Posteriori (MAP) adaptation technique. During verification, log likelihood ratio is calculated between(More)