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AMRITATCS-IITGUWAHATI Combined System for the Speakers in the Wild (SITW) Speaker Recognition Challenge

Publication Type : Conference Paper, Journal Article

Publisher : IEEE TENCON 2016

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2016, 2017

Abstract : In this work, the details of AMRITA-TCS and IITGUWAHATI speaker recognition systems submitted to the Speakers in the Wild (SITW) speaker recognition challenge are presented. The AMRITA-TCS system is a fusion of i-vector with a backend probabilistic linear discriminant analysis (i-PLDA) system and a cosine distance features (CDF) with backend support vector machine classifier (CDF-SVM) system, developed using the short term cepstral features, mel frequency cepstral coefficients (MFCC) and power normalized cepstral coefficients (PNCC), respectively. The IITGUWAHATI system is an i-PLDA system using MFCC with a vowel like region (VLR) based feature selection (i-PLDA-VLR). The experimental results reported in this work are based on the core-core condition of the challenge. Finally, a fusion of AMRITA-TCS and IITGUWAHATI speaker recognition systems is carried out that enhances the performance than each of the subsystems. © 2016 IEEE.

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