Subject: [AUDITORY] 3nd International Workshop on Machine Learning Challenges for Hearing Aids (Clarity-CEC2-2022) - Registration open From: Jon Barker <00000196bd06e182-dmarc-request@xxxxxxxx> Date: Fri, 11 Nov 2022 09:21:11 +0000--000000000000c7ad3405ed2e6910 Content-Type: text/plain; charset="UTF-8" ========================================================== 3nd International Workshop on Machine Learning Challenges for Hearing Aids (Clarity-CEC2-2022) Online Event, 12th December 2022 https://claritychallenge.org/clarity2022-CEC2-workshop/ ========================================================== For programme details and free registration please visit the workshop website https://claritychallenge.github.io/clarity2022-CEC2-workshop/ IMPORTANT DATES * 10th December - Registration Closes * 12th December - Workshop / 2nd Clarity Enhancement Challenge results announced The aim of this one-day virtual event is to report on the 2nd Clarity Enhancement Challenge, one of a series of machine learning challenges being organised by the UKRI-funded Clarity Project targeted at helping those with a hearing impairment. The challenge was based on a novel dataset of simulated hearing aid inputs for a scenario involving a target speaker in the presence of multiple competing source sources in a domestic environment. Entrants were tasked with enhancing the target speaker for listeners with specific hearing impairments. Submissions were evaluated using both HASPI and a panel of hearing-impaired listeners. The challenge was launched in March 2022 and ran until September 2022 leading to the evaluation of 18 systems from 7 separate teams. This virtual workshop will feature * announcement of the challenge results * presentations from participating teams * invited talks, * a discussion of future directions for hearing aid machine learning challenges. **Organisers** The Clarity Project Team Michael Akeroyd, University of Nottingham Will Bailey, University of Sheffield Jon Barker, University of Sheffield Trevor Cox, University of Salford John Culling, University of Cardiff Simone Graetzer, University of Salford Graham Naylor, University of Nottingham Zuza Podwinska, University of Salford Zehai Tu, University of Sheffield Alice Tucker, University of Sheffield -- Professor Jon Barker, Department of Computer Science, University of Sheffield +44 (0) 114 222 1824 --000000000000c7ad3405ed2e6910 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D<br><br>3nd International Worksho= p on Machine Learning Challenges for Hearing Aids (Clarity-CEC2-2022)<br>On= line Event, 12th December 2022<br><a href=3D"https://claritychallenge.org/c= larity2022-CEC2-workshop/">https://claritychallenge.org/clarity2022-CEC2-wo= rkshop/</a><br>=C2=A0<br>=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D<br>=C2=A0<br>For progra= mme details and free registration please visit the workshop website<br><br>= <a href=3D"https://claritychallenge.github.io/clarity2022-CEC2-workshop/">h= ttps://claritychallenge.github.io/clarity2022-CEC2-workshop/</a><br><br>IMP= ORTANT DATES<br><br>* 10th December - Registration Closes<br>* 12th Decembe= r - Workshop / 2nd Clarity Enhancement Challenge results announced<br>=C2= =A0<br>The aim of this one-day virtual event is to report on the 2nd Clarit= y Enhancement Challenge, one of a series of machine learning challenges bei= ng organised by the UKRI-funded Clarity Project targeted at helping those w= ith a hearing impairment. The challenge was based on a novel dataset of sim= ulated hearing aid inputs for a scenario involving a target speaker in the = presence of multiple competing source sources in a domestic environment. En= trants were tasked with enhancing the target speaker for listeners with spe= cific hearing impairments. Submissions were evaluated using both HASPI and = a panel of hearing-impaired listeners. The challenge was launched in March = 2022 and ran until September =C2=A02022 leading to the evaluation of 18 sys= tems from 7 separate teams.<br><br>This virtual workshop will feature<br><b= r>* announcement of the challenge results<br>* presentations from participa= ting teams<br>* invited talks,<br>* a discussion of future directions for h= earing aid machine learning challenges.<br><br>**Organisers**<br>=C2=A0<br>= The Clarity Project Team<br><br>Michael Akeroyd, University of Nottingham<b= r>Will Bailey, University of Sheffield<br>Jon Barker, University of Sheffie= ld<br>Trevor Cox, University of Salford<br>John Culling, University of Card= iff<br>Simone Graetzer, University of Salford<br>Graham Naylor, University = of Nottingham<br>Zuza Podwinska, University of Salford<br>Zehai Tu, Univers= ity of Sheffield<br>Alice Tucker, University of Sheffield<br><br>=C2=A0<br = clear=3D"all"><div><br></div>-- <br><div dir=3D"ltr" class=3D"gmail_signatu= re" data-smartmail=3D"gmail_signature"><div dir=3D"ltr"><div><div dir=3D"lt= r">Professor Jon Barker,<div><div>Department of Computer Science,</div><div= >University of Sheffield</div><div>+44 (0) 114 222 1824</div><div><br></div= ></div></div></div></div></div></div> --000000000000c7ad3405ed2e6910--