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In this paper we present a speech representation based on the Linear Predictive Coding of the Zero Phase version of the signal (ZP-LPC) and its robustness in presence of additive noise for robust formant estimation. Two representations are proposed for using in the frequency candidate proposition stage of the formant tracking algorithm: 1) the roots of ZP-LPC and 2) the peaks of its group delay function...
Currently, many speaker recognition applications must handle speech corrupted by environmental additive noise without having a priori knowledge about the characteristics of noise. Some previous works in speaker recognition have used the missing feature (MF) approach to compensate for noise. In most of those applications, the spectral reliability decision step is performed using the signal to noise...
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