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.
Original language | English |
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Pages | 431-435 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 30 Aug 2021 |
Event | INTERSPEECH 2021 - Brno, Czech Republic Duration: 30 Aug 2021 → 3 Sept 2021 https://www.interspeech2021.org/ |
Conference
Conference | INTERSPEECH 2021 |
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Abbreviated title | INTERSPEECH 2021 |
Country/Territory | Czech Republic |
City | Brno |
Period | 30/08/21 → 3/09/21 |
Internet address |
Bibliographical note
Funding Information:We acknowledge funding from the DFG’s Reinhart Koselleck project No. 442218748 (AUDI0NOMOUS), the EU’s HORIZON 2020 Grant No. 115902 (RADAR CNS), and the ERC project No. 833296 (EAR).
Publisher Copyright:
Copyright © 2021 ISCA.
Keywords
- COVID-19
- Challenge
- Computational paralinguistics
- Escalation
- Primates