The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates-Reference-Cited by-同舟云学术

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

Published:2021-08-30 Issue: Volume: Page:
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Container-title:Interspeech 2021
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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 70 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. Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data;Exploration of Digital Health Technologies;2024-08-11

2. Applying machine learning to primate bioacoustics: Review and perspectives;American Journal of Primatology;2024-08-09

3. One-Epoch Training with Single Test Sample in Test Time for Better Generalization of Cough-Based Covid-19 Detection Model;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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

5. Intermediate Layer Attention Mechanism for Multimodal Fusion in Personality and Affect Computing;IEEE Access;2024

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