Subject: [AUDITORY] Invitation to the Second DiCOVA Challenge on acoustics based COVID-19 diagnosis From: Neeraj Sharma <neerajww@xxxxxxxx> Date: Thu, 19 Aug 2021 17:03:07 +0530--000000000000d52b2105c9e7eac1 Content-Type: text/plain; charset="UTF-8" Dear Members, Can sound samples serve as acoustic biomarkers of COVID-19? If yes, an acoustics based COVID-19 diagnosis can provide a fast, contactless, inexpensive, and scalable screening scheme, with potential to supplement the existing molecular testing methods, such as RT-PCR and RAT. The DiCOVA Challenge Series is an exploration of ideas to find answers to this question. We are excited to share with you the announcement of the "Second DiCOVA Challenge on Diagnosing COVID-19 using Acoustics". The challenge features the following three parallel tracks and one fusion track. ********** Track-1: Breathing Sound Samples Track-2: Cough Sound Samples Track-3: Speech Sound Samples Track-4: Fusion. Here participants can use any combination of above sound categories. ********** The task in all the tracks requires building a binary classifier for COVID-19 detection using only sound samples. As was the case in the first DiCOVA challenge, a dataset and a baseline system will be released, and a leaderboard style platform for evaluation using a blind test set will be provided to all participants. ********** Event website: https://dicovachallenge.github.io/ Registration Details: https://dicovachallenge.github.io/#register Flyer: https://dicovachallenge.github.io/docs/Second_DiCOVA_challenge2022_flyer.pdf We look forward to your participation! ********** The challenge timeline is chosen to suit the paper submission deadline (1st Oct. 2021) of the International Conference on Acoustics, Speech, Signal Processing (ICASSP), a flagship conference of the IEEE ( https://2022.ieeeicassp.org/). ********** In case you would like to join hands in our dataset building effort for respiratory diagnosis, please feel free to contact us. Cheers, Neeraj Sharma On behalf of Team DiCOVA --000000000000d52b2105c9e7eac1 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Dear Members,<br><br>Can sound samples serve as acoustic b= iomarkers of COVID-19? If yes, an acoustics based COVID-19 diagnosis can pr= ovide a fast, contactless, inexpensive, and scalable screening scheme, with= potential to supplement the existing molecular testing methods, such as RT= -PCR and RAT. The DiCOVA Challenge Series is an exploration of ideas to fin= d answers to this question.<br><br>We are excited to share with you the ann= ouncement of the "Second DiCOVA Challenge on Diagnosing COVID-19 using= Acoustics". The challenge features the following three parallel track= s and one fusion track.<br>**********<br>Track-1: Breathing Sound Samples <= br>Track-2: Cough Sound Samples <br>Track-3: Speech Sound Samples <br>Track= -4: Fusion. Here participants can use any combination of above sound catego= ries.<br>**********<br>The task in all the tracks requires building a binar= y classifier for COVID-19 detection using only sound samples. As was the ca= se in the first DiCOVA challenge, a dataset and a baseline system will be r= eleased, and a leaderboard style platform for evaluation using a blind test= set will be provided to all participants.<br>**********<br>Event website: = <a href=3D"https://dicovachallenge.github.io/">https://dicovachallenge.gith= ub.io/</a><br>Registration Details: <a href=3D"https://dicovachallenge.gith= ub.io/#register">https://dicovachallenge.github.io/#register</a><br>Flyer: = <a href=3D"https://dicovachallenge.github.io/docs/Second_DiCOVA_challenge20= 22_flyer.pdf">https://dicovachallenge.github.io/docs/Second_DiCOVA_challeng= e2022_flyer.pdf</a><br>We look forward to your participation!<div><div><div= >**********<br></div></div>The challenge timeline is chosen to suit the pap= er submission deadline (1st Oct. 2021) of the International Conference on A= coustics, Speech, Signal Processing (ICASSP), a flagship conference of the = IEEE (<a href=3D"https://2022.ieeeicassp.org/">https://2022.ieeeicassp.org/= </a>).<br><div><div>**********</div><div>In case you would like to join han= ds in our dataset building effort for respiratory diagnosis, please feel fr= ee to contact us.</div></div><br class=3D"gmail-Apple-interchange-newline">= Cheers,<br>Neeraj Sharma<br>On behalf of Team DiCOVA<br></div></div> --000000000000d52b2105c9e7eac1--