@inproceedings{34d4edfd39ac406eb53cffad00303968,
title = "The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates",
abstract = "The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech; in the Escalation Sub- Challenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Sub-Challenge, four species vs background need to be classified. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' COMPARE and BoAW features as well as deep unsupervised representation learning using the AUDEEP toolkit, and deep feature extraction from pre-trained CNNs using the DEEP SPECTRUM toolkit; in addition, we add deep end-to-end sequential modelling, and partially linguistic analysis. ",
keywords = "Challenge, Computational paralinguistics, COVID-19, Escalation, Primates",
author = "Schuller, {Bj{\"o}rn W.} and Anton Batliner and Christian Bergler and Cecilia Mascolo and Jing Han and Iulia Lefter and Heysem Kaya and Shahin Amiriparian and Rothkrantz, {Leon J.M.} and {More Authors}",
year = "2021",
doi = "10.21437/Interspeech.2021-19",
language = "English",
series = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
publisher = "International Speech Communication Association",
pages = "4291--4295",
booktitle = "22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021",
note = "22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 ; Conference date: 30-08-2021 Through 03-09-2021",
}