@inproceedings{4793390e87e24514a4e6d5905dcd2aa0,
title = "Improving speaker verification performance under spoofing attacks by fusion of different operational modes",
abstract = "In this paper, we propose a methodology for the fusion of different modes of speaker verification (SV) operation (fixed-passphrase, text-dependent and text-independent mode), using regression fusion models. The experimental results with and without spoofing attack conditions and using different single mode speaker verification engines, GMM-UBM, HMM-UBM and i-vector, indicated improvement in all the experiments. The 6.75 % in terms of EER is achieved as the best speaker verification performance, when using fusion of scores from three modes of operation of HMM-UBM based speaker verification systems. Relative improvement of 22.32 % achieved compare to the best performing single mode engine.",
keywords = "anti-spoofing, Automatic speaker verification, GMM-UBM, HMM-UBM, i-vector, MLP, regression fusion, spoofing attack, SVM",
author = "Saeid Safavi and Hock Gan and Iosif Mporas",
year = "2017",
month = oct,
day = "10",
doi = "10.1109/CSPA.2017.8064954",
language = "English",
series = "Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "219--223",
booktitle = "Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017",
address = "United States",
note = "13th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2017 ; Conference date: 10-03-2017 Through 12-03-2017",
}