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[AUDITORY] Affect Sub-Challenges are now open: The 10th Interspeech Computational Paralinguistics Challenge - ComParE 2018



Dear Colleagues,

 

This year’s 10th anniversary Interspeech Computational Paralinguistics Challenge (ComParE) just opened also the Atypical and Self-Assessed Affect Sub-Challenges.

All Sub-Challenges are now open for participation.

 

 

Call for Participation

INTERSPEECH 2018 ComParE

Computational Paralinguistics challengE

 

Atypical & Self-Assessed Affect, Crying & Heart Beats

 

http://emotion-research.net/sigs/speech-sig/is18-compare

 

Organisers:

Björn Schuller (University of Augsburg, Germany & Imperial College, UK)

Stefan Steidl (FAU Erlangen-Nuremberg, Germany)

Anton Batliner (University of Augsburg, Germany)

Peter B. Marschik (MU Graz, Austria / UMC Göttingen, Germany / KI, Sweden)

Harald Baumeister (University of Ulm, Germany)

Fengquan Dong (Shenzhen University General Hospital, PR China)

 

Dates:

16 March 2018 Paper abstract registration

23 March 2018 Final paper submission

11 June   2018 Final result upload

17 June   2018 Camera-ready paper

 

The Challenge:

 

 

 

 

 

 

 

 

 

The Interspeech 2018 Computational Paralinguistics ChallengE (ComParE) is an open Challenge dealing with states and traits of speakers as manifested in their speech signal’s acoustic properties. There have so far been nine consecutive Challenges at INTERSPEECH since 2009 (cf. the Challenge series‘ repository at http://www.compare.openaudio.eu), but there still exists a multiplicity of not yet covered, but highly relevant paralinguistic phenomena. Thus, in this year’s 10th anniversary edition, we introduce four new tasks. The following Sub-Challenges are addressed:

 

              In the Atypical Affect Sub-Challenge, emotion of disabled speakers is to be recognised.

              In the Self-Assessed Affect Sub-Challenge, self-assessed affect shall be determined.

              In the Crying Sub-Challenge, mood-related types of infant vocalisation have to be classified.

              In the Heart Beats Sub-Challenge, types of Heart Beat Sounds need to be distinguished.

 

All Sub-Challenges allow contributors to find their own features with their own machine learning algorithm. However, a standard feature set and tools will be provided that may be used. Participants will have to stick to the definition of training, development, and test sets as given. They may report results obtained on the development sets, but have only five trials to upload their results on the test set per Sub-Challenge, whose labels are unknown to them. Each participation has to be accompanied by a paper presenting the results that undergoes the normal Interspeech peer-review and has to be accepted for the conference in order to participate in the Challenge. The organisers preserve the right to re-evaluate the findings, but will not participate themselves in the Challenge.

In these respects, the INTERSPEECH 2017 Computational Paralinguistics challengE (ComParE) shall help bridging the gap between excellent research on paralinguistic information in spoken language and low compatibility of results. We encourage both – contributions aiming at highest performance w.r.t. the baselines provided by the organisers, and contributions aiming at finding new and interesting insights w.r.t. these data. Overall, contributions using the provided or equivalent data are sought for (but not limited to):

 

  • Participation in a Sub-Challenge
  • Contributions focussing on Computational Paralinguistics centred around the Challenge topics

 

The results of the Challenge will be presented at Interspeech 2018 in Hyderabad, India.

Prizes will be awarded to the Sub-Challenge winners. If you are interested and planning to participate in INTERSPEECH 2018 ComParE, or if you want to be kept informed about the Challenge, please send the organisers an e-mail (steidl@xxxxxxxxx) to indicate your interest and visit the homepage:


http://emotion-research.net/sigs/speech-sig/is18-compare

 

 

 

With best wishes,

 

Björn Schuller

On behalf of the organisers

 

 

___________________________________________

 

Professor Dr habil.

Björn W. Schuller

FIEEE

 

Chair of Embedded Intelligence for Health Care and Wellbeing

University of Augsburg / Germany

 

Head GLAM – Group on Audio, Language & Music

Imperial College London / UK

 

CEO audEERING GmbH

Gilching / Germany

 

Visiting Professor

Harbin Institute of Technology / China

 

Editor in Chief

IEEE Transactions on Affective Computing

 

schuller@xxxxxxxx

http://www.schuller.one

___________________________________________