Allpass modeling of LP residual for speaker recognition

Kodukula, Sri Rama Murty and Boominathan, V and Vijayan, K (2012) Allpass modeling of LP residual for speaker recognition. In: 9th International Conference on Signal Processing and Communications, 22-25, July 2012, Bangalore; India.

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The objective of this paper is to demonstrate the usefulness of phase derived from the linear prediction (LP) residual for speaker recognition. Though the sequence of samples in the LP residual are uncorrelated, they are not independent. Since the magnitude spectrum of the LP residual is almost flat, the dependencies among the samples in LP residual are reflected mainly in its phase spectrum. The information in the phase spectrum of the LP residual is captured by modeling LP residual as the output of an allpass filter excited by independent and identically distributed (i.i.d.) nongaussian input. The coefficients of the allpass filter are estimated iteratively using higher order cumulants of the input. The estimated coefficients are used as features to build a speaker recognition system using Gaussian mixture models. The speaker recognition system built from the proposed features resulted in an equal error rate of 6% on a population of 50 speakers

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IITH Creators:
IITH CreatorsORCiD
Kodukula, Sri Rama Murty
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Allpass filter; Gaussian mixture modeling and speaker recognition; higher order cumulants; phase estimation
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 07 Nov 2014 04:44
Last Modified: 05 Dec 2017 04:07
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