A Text-Independent Speaker Verification for SdSV Challenge 2020

Tran Dang Khoa, Tsung Han Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

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.

原文???core.languages.en_GB???
主出版物標題2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面459-461
頁數3
ISBN(電子)9781728163246
DOIs
出版狀態已出版 - 30 10月 2020
事件5th IEEE International Conference on Computing Communication and Automation, ICCCA 2020 - Greater Noida, India
持續時間: 30 10月 202031 10月 2020

出版系列

名字2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???5th IEEE International Conference on Computing Communication and Automation, ICCCA 2020
國家/地區India
城市Greater Noida
期間30/10/2031/10/20

指紋

深入研究「A Text-Independent Speaker Verification for SdSV Challenge 2020」主題。共同形成了獨特的指紋。

引用此