Joint Decision of Anti-Spoofing and Automatic Speaker Verification by Multi-Task Learning With Contrastive Loss

• Published in: IEEE access Vol. 8; pp. 7907 - 7915
• Main Authors: Li, Jiakang, Sun, Meng, Zhang, Xiongwei, Wang, Yimin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anti-spoofing; Artificial neural networks; Biometrics (access control); Data mining; Deep learning; Embedding; Feature extraction; Machine learning; multi-task learning; Neural networks; Propagation losses; replay detection; speaker verification; Spoofing; Task analysis; triplet loss; Verification; Voice recognition

Automatic speaker verification (ASV) is an emerging biometric verification technique with more and more applications. However, both verification accuracy and anti-spoofing should be considered carefully before putting ASV into practice, where anti-spoofing is also called replay detection in which vo...