@inproceedings{dfcb5a350af5491eaff53ab8e70214af,
title = "UIAI System for Short-Duration Speaker Verification Challenge 2020",
abstract = "In this work, we present the system description of the UIAI entry for the short-duration speaker verification (SdSV) challenge 2020. Our focus is on Task 1 dedicated to text-dependent speaker verification. We investigate different feature extraction and modeling approaches for automatic speaker verification (ASV) and utterance verification (UV). We have also studied different fusion strategies for combining UV and ASV modules. Our primary submission to the challenge is the fusion of seven subsystems which yields a normalized minimum detection cost function (minDCF) of 0.072 and an equal error rate (EER) of 2.14\% on the evaluation set. The single system consisting of a pass-phrase identification based model with phone-discriminative bottleneck features gives a normalized minDCF of 0.118 and achieves 19\% relative improvement over the state-of-the-art challenge baseline.",
keywords = "Bottleneck feature, Fusion, SdSV challenge 2020, Text-dependent speaker verification, Utterance verification",
author = "Md Sahidullah and \{Kumar Sarkar\}, Achintya and Ville Vestman and Xuechen Liu and Romain Serizel and Tomi Kinnunen and Tan, \{Zheng Hua\} and Emmanuel Vincent",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Spoken Language Technology Workshop, SLT 2021 ; Conference date: 19-01-2021 Through 22-01-2021",
year = "2021",
month = jan,
day = "19",
doi = "10.1109/SLT48900.2021.9383596",
language = "English",
series = "2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "323--329",
booktitle = "2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings",
}