@inproceedings{8328bf74eb72486f9230d59211d92faa,
title = "Phonetically-constrained PLDA modeling for text-dependent speaker verification with multiple short utterances",
abstract = "The importance of phonetic variability for short duration speaker verification is widely acknowledged. This paper assesses the performance of Probabilistic Linear Discriminant Analysis (PLDA) and i-vector normalization for a text-dependent verification task. We show that using a class definition based on both speaker and phonetic content significantly improves the performance of a state-of-the-art system. We also compare four models for computing the verification scores using multiple enrollment utterances and show that using PLDA intrinsic scoring obtains the best performance in this context. This study suggests that such scoring regime remains to be optimized.",
keywords = "i-vector, PLDA, short duration, Speaker verification, Text-Dependent",
author = "Anthony Larcher and Lee, {Kong Aik} and Bin Ma and Haizhou Li",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6639156",
language = "English",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "7673--7677",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}