Publication Type:

Conference Paper

Source:

IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., p.2842-2846 (2017)

ISBN:

9781509025961

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015454175&doi=10.1109%2fTENCON.2016.7848562&partnerID=40&md5=78c5646e63238191c4870068db18c203

Keywords:

CDF-SVM, Cepstral coefficients, Discriminant analysis, Feature extraction, Image retrieval, Linguistics, Mel-frequency cepstral coefficients, Probabilistic linear discriminant analysis, Speaker recognition, Speaker Recognition System, speakers in the wild speaker (SITW) recognition challenge, Speech recognition, Support vector machine classifiers, Support vector machines

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.

Notes:

cited By 0; Conference of 2016 IEEE Region 10 Conference, TENCON 2016 ; Conference Date: 22 November 2016 Through 25 November 2016; Conference Code:126432

Cite this Research Publication

K. K. George, Das, R. K., Jelil, S., Das, K. A., Dr. Santhosh Kumar C., Prasanna, S. R. M., and Panda, A., “AMRITATCS-IITGUWAHATI combined system for the Speakers in the Wild (SITW) speaker recognition challenge”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 2842-2846.

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