The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Author:

Schuller Björn W.,Batliner Anton,Bergler Christian,Mascolo Cecilia,Han Jing,Lefter Iulia,Kaya Heysem,Amiriparian Shahin,Baird Alice,Stappen Lukas,Ottl Sandra,Gerczuk Maurice,Tzirakis Panagiotis,Brown Chloë,Chauhan Jagmohan,Grammenos Andreas,Hasthanasombat Apinan,Spathis Dimitris,Xia Tong,Cicuta Pietro,Rothkrantz Leon J.M.,Zwerts Joeri A.,Treep Jelle,Kaandorp Casper S.

Publisher

ISCA

Cited by 61 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection;Biomedical Signal Processing and Control;2024-02

2. The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation;Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation;2023-10-29

3. Covid-19 Detection from Cough, Breath, And Speech Sounds with Short-Time Fourier Transform and a CNN Model;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

4. An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

5. Identifying patients with Long COVID: study of the effectiveness of voice signal analysis and machine learning (Preprint);2023-07-10

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