ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan ∗

By Junichi Yamagishi, Massimiliano Todisco, Md. Sahidullah, Héctor Delgado, Xin Eric Wang, N. Evans, Tomi H. Kinnunen, Kong Aik LEE, Ville Vestman, Andreas Nautsch. 2021

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zalán Borsos
2. Neil Zeghidour
3. Evgeny Kharitonov
4. Damien Vincent
5. Matthew Sharifi
6. Marco Tagliasacchi
7. Raphaël Marinier
8. David Grangier

Citations in the corpus

• AudioLM: A Language Modeling Approach to Audio Generation (2022, background): “The number of channels used by each block increases with depth and is equal to [64, 128, 256, 256, 512, 512].”
• ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems (2019, background): “The 2019 ASVspoof challenge [23] provides simulated data for clear theoretical analysis of audio spoofing attacks in physical environments, but also leaves the simulation-to-reality gap .”