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[AUDITORY] Interspeech 2020 Computational Paralinguistics Challenge (ComParE) - All Sub-Challenges open now



Dear Colleagues,

the Interspeech 2020 Computational Paralinguistics Challenge (ComParE):
Elderly Emotion, Breathing & Masks

http://www.compare.openaudio.eu/compare2020/

has now opened all of its Sub-Challenges.

The Interspeech 2020 Computational Paralinguistics ChallengE (ComParE) is an open Challenge dealing with states and traits of speakers as manifested in their speech signal’s properties. There have so far been eleven consecutive Challenges at INTERSPEECH since 2009. This year, we introduce three new tasks by the Elderly Emotion Sub-Challenge, the Breathing Sub-Challenge, and the Mask Sub-Challenge. For the tasks, the data are provided by the organisers. 
The results of the Challenge will be presented at Interspeech 2020 in Shanghai, China. Prizes will be awarded to the Sub-Challenge winners. 

If you are interested and planning to participate in the Computational Paralinguistics Challenge, or if you want to be kept informed about the Challenge, please send the organisers an e-mail to indicate your interest.

Organisers:
Björn Schuller (University of Augsburg, Germany / Imperial College London, UK / audEERING)
Anton Batliner (University of Augsburg, Germany) 
Christian Bergler (FAU Erlangen-Nuremberg Erlangen, Germany)
Eva-Maria Messner (University of Ulm, Germany)  
Antonia Hamilton (University College London, UK)

Sponsored by:
audEERING GmbH

Officially started:
19 January 2020 (Mask Sub-Challenge).
04 February 2020 (Elderly Emotion and Breathing Sub-Challenges)

Deadlines:
30 March 2020 Paper registration at http://interspeech2020.org.
15 June 2020 Final result upload 

To get started: Please obtain the License Agreements (All Sub-Challenges) at http://www.compare.openaudio.eu/wp-content/uploads/2020/01/EULA_IS_2020.pdf


With best wishes and looking forward to rich participation,

Björn Schuller, Anton Batliner, Christian Bergler, Eva-Maria Messner, Antonia Hamilton








___________________________________________

Univ.-Prof. mult. Dr. habil. Björn W. Schuller, FIEEE

Professor and ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing
University of Augsburg / Germany

Professor of Artificial Intelligence
Head GLAM - Group on Language, Audio & Music
Imperial College London / UK

CSO/MD audEERING GmbH
Germany

schuller@xxxxxxxx
www.schuller.one