ASVspoof 2019:

Automatic Speaker Verification

Spoofing and Countermeasures Challenge

Future horizons in spoofed/fake audio detection

Previous challenges: Find the ASVspoof 2017 website here. Find the ASVspoof 2015 website here.

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, 2018Training and development data
8th February, 2019Participant registration deadline
15th February, 2019Evaluation data
22nd February, 2019Scores submission
15th March, 2019 Results
29th March, 2019Interspeech submission deadline
15th-19th September, 2019ASVspoof 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 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

EURECOM Inria National Institute of Informatics
NEC University of Eastern Finland The University of Edinburgh

Contributors to database creation

Aalto University Academia Sinica DFKI DFKI EURECOM
Google Google Google News Initiative HOYA iFlaytek
Nagoya University National Institute of Informatics Nippon Telegraph and Telephone National Institute of Informatics
Universität des Saarlandes University of Eastern Finland Université d'Avignon The University of Edinburgh USTC

Funding agencies

Academy of Finland Agence Nationale de la Recherche Japan Science and Technology Agency