@inproceedings{4ddc23e2f4d04154820255860b4abcc7,
title = "Improving robustness of speaker verification by fusion of prompted text-dependent and text-independent operation modalities",
abstract = "In this paper we present a fusion methodology for combining prompted text-dependent and text-independent speaker verification operation modalities. The fusion is performed in score level extracted from GMM-UBM single mode speaker verification engines using several machine learning algorithms for classification. In order to improve the performance we apply clustering of the score-based data before the classification stage. The experimental results indicated that the fusion of the two operation modes improves the speaker verification performance both in terms of sensitivity and specificity by approximately 2% and 1.5% respectively.",
keywords = "Fusion, Machine learning, Speaker verification",
author = "Iosif Mporas and Saeid Safavi and Reza Sotudeh",
year = "2016",
month = aug,
day = "13",
doi = "10.1007/978-3-319-43958-7_45",
language = "English",
isbn = "9783319439570",
volume = "9811",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature Link",
pages = "378--385",
booktitle = "Speech and Computer",
address = "Netherlands",
note = "18th International Conference on Speech and Computer, SPECOM 2016 ; Conference date: 23-08-2016 Through 27-08-2016",
}