  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.
