[2102.13468] The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

<!DOCTYPE html> <html lang="en"> <head> <title>[2102.13468] The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/browse_search.css" /> <script language="javascript" src="/static/browse/0.3.4/js/accordion.js" /></script> <link rel="canonical" href="https://arxiv.org/abs/2102.13468"/> <meta name="description" content="Abstract page for arXiv paper 2102.13468: The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates"><meta property="og:type" content="website" /> <meta property="og:site_name" content="arXiv.org" /> <meta property="og:title" content="The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates" /> <meta property="og:url" content="https://arxiv.org/abs/2102.13468v1" /> <meta property="og:image" content="/static/browse/0.3.4/images/arxiv-logo-fb.png" /> <meta property="og:image:secure_url" content="/static/browse/0.3.4/images/arxiv-logo-fb.png" /> <meta property="og:image:width" content="1200" /> <meta property="og:image:height" content="700" /> <meta property="og:image:alt" content="arXiv logo"/> <meta property="og:description" content="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 SubChallenge, 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."/> <meta name="twitter:site" content="@arxiv"/> <meta name="twitter:card" content="summary"/> <meta name="twitter:title" content="The INTERSPEECH 2021 Computational Paralinguistics Challenge:..."/> <meta name="twitter:description" content="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..."/> <meta name="twitter:image" content="https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png"/> <meta name="twitter:image:alt" content="arXiv logo"/> <link rel="stylesheet" media="screen" type="text/css" href="/static/browse/0.3.4/css/tooltip.css"/><link rel="stylesheet" media="screen" type="text/css" href="https://static.arxiv.org/js/bibex-dev/bibex.css?20200709"/> <script src="/static/browse/0.3.4/js/mathjaxToggle.min.js" type="text/javascript"></script> <script src="//code.jquery.com/jquery-latest.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/dompurify@2.3.5/dist/purify.min.js"></script> <script src="/static/browse/0.3.4/js/toggle-labs.js?20241022" type="text/javascript"></script> <script src="/static/browse/0.3.4/js/cite.js" type="text/javascript"></script><meta name="citation_title" content="The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates" /><meta name="citation_author" content="Schuller, Bj枚rn W." /><meta name="citation_author" content="Batliner, Anton" /><meta name="citation_author" content="Bergler, Christian" /><meta name="citation_author" content="Mascolo, Cecilia" /><meta name="citation_author" content="Han, Jing" /><meta name="citation_author" content="Lefter, Iulia" /><meta name="citation_author" content="Kaya, Heysem" /><meta name="citation_author" content="Amiriparian, Shahin" /><meta name="citation_author" content="Baird, Alice" /><meta name="citation_author" content="Stappen, Lukas" /><meta name="citation_author" content="Ottl, Sandra" /><meta name="citation_author" content="Gerczuk, Maurice" /><meta name="citation_author" content="Tzirakis, Panagiotis" /><meta name="citation_author" content="Brown, Chlo毛" /><meta name="citation_author" content="Chauhan, Jagmohan" /><meta name="citation_author" content="Grammenos, Andreas" /><meta name="citation_author" content="Hasthanasombat, Apinan" /><meta name="citation_author" content="Spathis, Dimitris" /><meta name="citation_author" content="Xia, Tong" /><meta name="citation_author" content="Cicuta, Pietro" /><meta name="citation_author" content="Rothkrantz, Leon J. M." /><meta name="citation_author" content="Zwerts, Joeri" /><meta name="citation_author" content="Treep, Jelle" /><meta name="citation_author" content="Kaandorp, Casper" /><meta name="citation_date" content="2021/02/24" /><meta name="citation_online_date" content="2021/02/24" /><meta name="citation_pdf_url" content="http://arxiv.org/pdf/2102.13468" /><meta name="citation_arxiv_id" content="2102.13468" /><meta name="citation_abstract" content="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 SubChallenge, 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." /> </head> <body class="with-cu-identity"> <div class="flex-wrap-footer"> <header> <a href="#content" class="is-sr-only">Skip to main content</a>  <div class="columns is-vcentered is-hidden-mobile" id="cu-identity"> <div class="column" id="cu-logo"> <a href="https://www.cornell.edu/"><img src="/static/browse/0.3.4/images/icons/cu/cornell-reduced-white-SMALL.svg" alt="Cornell University" /></a> </div><div class="column" id="support-ack"> <span id="support-ack-url">We gratefully acknowledge support from the Simons Foundation, <a href="https://info.arxiv.org/about/ourmembers.html">member institutions</a>, and all 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context to guide clinical practice or health-related behavior and should not be reported in news media as established information without consulting multiple experts in the field.</p> </div> <link rel="stylesheet" type="text/css" href="/static/base/1.0.1/css/abs.css"> <div id="content-inner"> <div id="abs"> <div class="dateline"> [Submitted on 24 Feb 2021]</div> <h1 class="title mathjax"><span class="descriptor">Title:</span>The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates</h1> <div class="authors"><span class="descriptor">Authors:</span><a href="https://arxiv.org/search/eess?searchtype=author&query=Schuller,+B+W" rel="nofollow">Bj枚rn W. Schuller</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Batliner,+A" rel="nofollow">Anton Batliner</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Bergler,+C" rel="nofollow">Christian Bergler</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Mascolo,+C" rel="nofollow">Cecilia Mascolo</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Han,+J" rel="nofollow">Jing Han</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Lefter,+I" rel="nofollow">Iulia Lefter</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kaya,+H" rel="nofollow">Heysem Kaya</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Amiriparian,+S" rel="nofollow">Shahin Amiriparian</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Baird,+A" rel="nofollow">Alice Baird</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Stappen,+L" rel="nofollow">Lukas Stappen</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ottl,+S" rel="nofollow">Sandra Ottl</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gerczuk,+M" rel="nofollow">Maurice Gerczuk</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tzirakis,+P" rel="nofollow">Panagiotis Tzirakis</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Brown,+C" rel="nofollow">Chlo毛 Brown</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Chauhan,+J" rel="nofollow">Jagmohan Chauhan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Grammenos,+A" rel="nofollow">Andreas Grammenos</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Hasthanasombat,+A" rel="nofollow">Apinan Hasthanasombat</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Spathis,+D" rel="nofollow">Dimitris Spathis</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Xia,+T" rel="nofollow">Tong Xia</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Cicuta,+P" rel="nofollow">Pietro Cicuta</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Rothkrantz,+L+J+M" rel="nofollow">Leon J. M. Rothkrantz</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Zwerts,+J" rel="nofollow">Joeri Zwerts</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Treep,+J" rel="nofollow">Jelle Treep</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Kaandorp,+C" rel="nofollow">Casper Kaandorp</a></div> <div id="download-button-info" hidden>View a PDF of the paper titled The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates, by Bj\"orn W. Schuller and 23 other authors</div> <a class="mobile-submission-download" href="/pdf/2102.13468">View PDF</a> <blockquote class="abstract mathjax"> <span class="descriptor">Abstract:</span>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 SubChallenge, 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. </blockquote>  <div class="metatable"> <table summary="Additional metadata"> <tr> <td class="tablecell label">Comments:</td> <td class="tablecell comments mathjax">5 pages</td> </tr> <tr> <td class="tablecell label">Subjects:</td> <td class="tablecell subjects"> <span class="primary-subject">Audio and Speech Processing (eess.AS)</span>; Computation and Language (cs.CL); Machine Learning (cs.LG); Sound (cs.SD)</td> </tr> <tr> <td class="tablecell label"><abbr title="Mathematical Subject Classification">MSC</abbr> classes:</td> <td class="tablecell msc-classes">68</td> </tr> <tr> <td class="tablecell label"><abbr title="Association of Computing Machinery Classification">ACM</abbr> classes:</td> <td class="tablecell acm-classes">I.2.7; I.5.0; J.3</td> </tr> <tr> <td class="tablecell label">Cite as:</td> <td class="tablecell arxivid"><span class="arxivid"><a href="https://arxiv.org/abs/2102.13468">arXiv:2102.13468</a> [eess.AS]</span></td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxividv">(or <span class="arxivid"> <a href="https://arxiv.org/abs/2102.13468v1">arXiv:2102.13468v1</a> [eess.AS]</span> for this version) </td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxivdoi"> <a href="https://doi.org/10.48550/arXiv.2102.13468" id="arxiv-doi-link">https://doi.org/10.48550/arXiv.2102.13468</a><div class="button-and-tooltip"> <button class="more-info" aria-describedby="more-info-desc-1"> <svg height="15" role="presentation" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z" class=""></path></svg> <span class="visually-hidden">Focus to learn more</span> </button>  <div role="tooltip" id="more-info-desc-1"> <span class="left-corner"></span> arXiv-issued DOI via DataCite</div> </div> </td> </tr></table> </div> </div> </div> <div class="submission-history"> <h2>Submission history</h2> From: Bj枚rn Schuller [<a href="/show-email/91c95f8e/2102.13468" rel="nofollow">view email</a>] <br/> <strong>[v1]</strong> Wed, 24 Feb 2021 21:39:59 UTC (4,229 KB)<br/> </div> </div>  <div class="extra-services"> <div class="full-text"> <a name="other"></a> <span class="descriptor">Full-text links:</span> <h2>Access Paper:</h2> <ul> <div id="download-button-info" hidden> View a PDF of the paper titled The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates, by Bj\"orn W. 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[2102.13468] The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates