Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark

15 October 2020

Papers citing "Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark"

8 / 8 papers shown

Title
Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing Hye-jin Shim Md. Sahidullah Jee-weon Jung Shinji Watanabe Tomi Kinnunen 27 2 0 25 Jun 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 39 17 0 22 Apr 2024
Self-Attention and Hybrid Features for Replay and Deep-Fake Audio Detection Lian Huang Chi-Man Pun 15 4 0 11 Jan 2024
The Impact of Silence on Speech Anti-Spoofing Yuxiang Zhang Zhuo Li Jingze Lu Hua Hua Wenchao Wang Pengyuan Zhang 32 19 0 21 Sep 2023
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 27 172 0 05 Oct 2022
A Practical Guide to Logical Access Voice Presentation Attack Detection Xin Wang Junichi Yamagishi AAML 34 10 0 10 Jan 2022
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn? Nicolas M. Muller Franziska Dieckmann Pavel Czempin Roman Canals Konstantin Böttinger Jennifer Williams 28 70 0 23 Jun 2021
A data augmentation methodology for training machine/deep learning gait recognition algorithms Christoforos C. Charalambous Anil A. Bharath CVBM 26 43 0 24 Oct 2016