TY - GEN
T1 - Robust speaker verification with a two classifier format and feature enhancement
AU - Edwards, Joshua S.
AU - Ramachandran, Ravi P.
AU - Thayasivam, Umashanger
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - In the presence of environmental noise, speaker verification systems inevitably see a decrease in performance. This paper proposes the (1) use of two parallel classifiers, (2) feature enhancement based on blind signal-to-noise ratio (SNR) estimation and (3) fusion, to improve the performance of speaker verification systems. The two classifiers are based on Gaussian mixture models and the partial least-squares technique. Speech corrupted by additive noise at SNRs from 0 to 30 dB are used for authentication. A two-way analysis of variance validates the performance gain offered by the methods used. The outputs of the classifiers are fused together in different ways. The fusion method where the scores of the classifiers are added together is found to be the best method again using statistical analysis.
AB - In the presence of environmental noise, speaker verification systems inevitably see a decrease in performance. This paper proposes the (1) use of two parallel classifiers, (2) feature enhancement based on blind signal-to-noise ratio (SNR) estimation and (3) fusion, to improve the performance of speaker verification systems. The two classifiers are based on Gaussian mixture models and the partial least-squares technique. Speech corrupted by additive noise at SNRs from 0 to 30 dB are used for authentication. A two-way analysis of variance validates the performance gain offered by the methods used. The outputs of the classifiers are fused together in different ways. The fusion method where the scores of the classifiers are added together is found to be the best method again using statistical analysis.
UR - http://www.scopus.com/inward/record.url?scp=85030564720&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030564720&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2017.8050775
DO - 10.1109/ISCAS.2017.8050775
M3 - Conference contribution
AN - SCOPUS:85030564720
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Y2 - 28 May 2017 through 31 May 2017
ER -