A Study On Data Augmentation In Voice Anti-Spoofing

20 October 2021

Papers citing "A Study On Data Augmentation In Voice Anti-Spoofing"

7 / 7 papers shown

Title
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 29 0 0 22 Apr 2025
USTC-KXDIGIT System Description for ASVspoof5 Challenge Y. Chen Haochen Wu Nan Jiang Xiang Xia Qing Gu ... Sian Fang Yan Song Wu Guo Lin Liu Minqiang Xu 41 1 0 03 Sep 2024
Towards Attention-based Contrastive Learning for Audio Spoof Detection C. Goel Surya Koppisetti Ben Colman Ali Shahriyari Gaurav Bharaj 57 5 0 03 Jul 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 46 17 0 22 Apr 2024
Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing Hye-jin Shim Jee-weon Jung Tomi Kinnunen 21 13 0 31 May 2023
SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing Sivan Ding You Zhang Z. Duan 33 28 0 04 Nov 2022
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild Xuechen Liu Xin Wang Md. Sahidullah J. Patino Héctor Delgado ... Massimiliano Todisco Junichi Yamagishi Nicholas W. D. Evans A. Nautsch Kong Aik Lee 32 173 0 05 Oct 2022