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.
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):
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:
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 ___________________________________________ |