ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Massimiliano Todisco, Xin Wang, Ville Vestman, Md Sahidullah, Hector Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution


ASVspoof, now in its third edition, is a series of community-led challenges which promote the development
of countermeasures to protect automatic speaker verification (ASV) from the threat of spoofing. Advances in the 2019 edition include: (i) a consideration of both logical access (LA) and physical access (PA) scenarios and the three major forms of spoofing attack, namely synthetic, converted and replayed speech; (ii) spoofing attacks generated with state-of-the-art neural acoustic and waveform models; (iii) an improved, controlled simulation of replay attacks; (iv) use of the tandem detection cost function (t-DCF) that reflects the impact of both spoofing and countermeasures upon ASV reliability. Even if ASV remains the core focus, in retaining the equal error rate (EER) as a secondary metric, ASVspoof also embraces the growing importance of fake audio detection. ASVspoof 2019 attracted the participation of 63 research teams, with more than half of these reporting systems that improve upon the performance of two baseline spoofing countermeasures. This paper describes the 2019 database, protocols and challenge results. It also outlines major findings which demonstrate the real progress made in protecting against the threat of spoofing and fake audio.

Original languageEnglish
Title of host publicationProceedings Interspeech 2019
PublisherInternational Speech Communication Association
Number of pages5
Publication statusPublished - 19 Sep 2019
EventInterspeech 2019 - Graz, Austria
Duration: 15 Sep 201919 Sep 2019

Publication series

PublisherInternational Speech Communication Association
ISSN (Electronic)1990-9772


ConferenceInterspeech 2019
Internet address


  • spoofing
  • automatic speaker verification
  • ASVspoof
  • presentation attack detection
  • fake audio


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