17h May 2023: the ASVspoof 2019 data contributors protocols are available to download.
18th November: the slides used during Interspeech 2019 are available to download.
17th July: Release of ASVspoof 2019 real PA database. In this public release, we extended the simulated data used in the challenge with a real small set of audio files (2700) recorded and replayed in 3 different labs. To download it, please visit our Licence page.
5th June: Database Release via Edinburgh DataShare.
2nd May: ASRU 2019 Special Session description.
7th Feb: read the ASVspoof 2019 press alert.
15th Jan: the ASVspoof 2019 evaluation plan v0.4 is now available (ChangeLog).
The ASVspoof 2019 registration procedure is described in the evaluation plan. Registrations will be confirmed by email within 48 hours. The registration confirmation email will also contain a link and credentials for the downloading of training and development data.
The ASVspoof 2019 schedule is as follows.
|19th December, 2018
||Training and development data
|8th February, 2019
||Participant registration deadline
|15th February, 2019
|22nd February, 2019
|15th March, 2019
|29th March, 2019
||Interspeech submission deadline
|15th-19th September, 2019
||ASVspoof 2019 special session at Interspeech 2019
ASVspoof 2019 participants may wish to read our Odyssey 2018 paper which describes the t-DCF metric. It will be the default metric for ASVspoof 2019.
T. Kinnunen, K.-A. Lee, H. Delgado, N. Evans, M. Todisco, M. Sahidullah, J. Yamagishi, D.-A. Reynolds, "t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification", Proc. Odyssey 2018 - The Speaker and Language Recognition Workshop [PDF]
Software implementations of the t-DCF metric can be downloaded in MATLAB and Python formats.
Participants are encouraged to subscribe to the ASVspoof 2019 mailing list.
Send an email to email@example.com with 'subscribe asvspoof2019' in the subject line
ASVspoof 2019 participants may make use of the following baseline countermeasures:
M. Sahidullah, T. Kinnunen and C. Hanilci, "A comparison of features for synthetic speech detection", Proc. INTERSPEECH 2015, pp. 2087–2091 [PDF]
M. Todisco, H. Delgado and N. Evans, "Constant Q cepstral coefficients: a spoofing countermeasure for automatic speaker verification", Computer, Speech and Language, vol. 45, pp. 516 –535, 2017 [PDF]
Software implementations of both the LFCC-GMM and CQCC-GMM baselines are also available.
Organisers (equal contribution)
Junichi Yamagishi, National Institute of Informatics, JAPAN / University of Edinburgh, UK
Massimiliano Todisco, EURECOM, FRANCE
Md Sahidullah, Inria, FRANCE
Héctor Delgado, EURECOM, FRANCE
Xin Wang, National Institute of Informatics, JAPAN
Nicholas Evans, EURECOM, FRANCE
Tomi Kinnunen, University of Eastern Finland, FINLAND
Kong Aik Lee, NEC, JAPAN
Ville Vestman, University of Eastern Finland, FINLAND
Andreas Nautsch, EURECOM, France
Contributors to database creation