@inproceedings{8d7772b2be9e43e790f89bc68337c889,
title = "A Text-Independent Speaker Verification for SdSV Challenge 2020",
abstract = "In this paper, we present an intelligent system for text-independent speaker verification. The system has been constructed based on the X-vector framework by expanding some TDNN layers to the baseline system. The work has been open evaluated by Short-Duration Speaker Verification (SdSV) Challenge 2020 for the task of speaker recognition. From the evaluaton, a fixed training condition of the dataset is provided to build the speaker verification (SV) system. In the end, the result can achieve the Equal Error Rate (EER) and minimum Detection Cost Function (minDCF) of 16.26% and 0.4794, respectively.",
keywords = "SdSV, speaker recognition, x-vector",
author = "Khoa, {Tran Dang} and Tsai, {Tsung Han}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 5th IEEE International Conference on Computing Communication and Automation, ICCCA 2020 ; Conference date: 30-10-2020 Through 31-10-2020",
year = "2020",
month = oct,
day = "30",
doi = "10.1109/ICCCA49541.2020.9250773",
language = "???core.languages.en_GB???",
series = "2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "459--461",
booktitle = "2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020",
}