Subject: [AUDITORY] 2nd Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2022) - Registration open From: Jon Barker <00000196bd06e182-dmarc-request@xxxxxxxx> Date: Mon, 23 May 2022 18:14:37 +0100--00000000000033a73305dfb0fad6 Content-Type: text/plain; charset="UTF-8" ========================================================== 2nd International Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2022) Online Event, 29th June, 2022 claritychallenge.github.io/clarity2022-workshop/ ========================================================== For programme details and free registration please visit the workshop website https://claritychallenge.github.io/clarity2022-workshop/ *Important Dates <https://claritychallenge.github.io/clarity2022-workshop/>* 22nd June - Registration Closes 29th June - Workshop / Clarity Prediction Challenge results announced The aim of this one-day virtual event is to report on the Clarity Prediction Challenge <https://claritychallenge.github.io/clarity_CC_doc/docs/cpc1/cpc1_intro>, one of a series of machine learning challenges being organised by the UKRI-funded Clarity Project <http://claritychallenge.org/> targeted at helping those with a hearing impairment. The challenge was based on a novel dataset of hearing-impaired listeners' responses to speech-in-noise processed by hearing-aid algorithms. The challenge was launched in November 2021 and ran until March 2022 and attracted the submission of 16 different systems from 9 separate teams. This virtual workshop will feature - announcement of the challenge results - presentations from participating teams - a keynote talk, - a discussion of future directions for hearing aid machine learning challenges. *Invited Talk* - Theo Goverts, Vrije Universiteit Amsterdam *Organisers* The Clarity Project Team Michael Akeroyd, University of Nottingham Will Bailley, University of Sheffield Jon Barker, University of Sheffield Trevor Cox, University of Salford John Culling, University of Cardiff Lara Harris, University of Salford Graham Naylor, University of Nottingham Zuza Podwinska, University of Salford Zehai Tu, University of Sheffield -- Professor Jon Barker, Department of Computer Science, University of Sheffield +44 (0) 114 222 1824 --00000000000033a73305dfb0fad6 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>2nd International Worksho= p on Machine Learning Challenges for Hearing Aids (Clarity-2022)<br>Online = Event, 29th June, 2022<br><a href=3D"http://claritychallenge.github.io/clar= ity2022-workshop/">claritychallenge.github.io/clarity2022-workshop/<br></a>= <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><br>For programme details and free regist= ration please visit the workshop website<br><br><a href=3D"https://clarityc= hallenge.github.io/clarity2022-workshop/">https://claritychallenge.github.i= o/clarity2022-workshop/</a><div><br></div><div><b>Important Dates<a href=3D= "https://claritychallenge.github.io/clarity2022-workshop/"><br></a></b><br>= 22nd June - Registration Closes<br>29th June - Workshop / Clarity Predictio= n Challenge results announced<br><br><div>The aim of this one-day virtual e= vent is to report on the=C2=A0<a href=3D"https://claritychallenge.github.io= /clarity_CC_doc/docs/cpc1/cpc1_intro" target=3D"_blank">Clarity Prediction = Challenge</a>, one of a series of machine learning challenges being organis= ed by the=C2=A0<a href=3D"http://claritychallenge.org/" target=3D"_blank">U= KRI-funded Clarity Project</a>=C2=A0targeted at helping those with a hearin= g impairment. The challenge was based on a novel dataset of hearing-impaire= d listeners' responses to speech-in-noise processed by hearing-aid algo= rithms. The challenge was launched in November 2021 and ran until March 202= 2 and attracted the submission of 16 different systems from 9 separate team= s.</div><br><div>This virtual workshop will feature</div><div><ul><li style= =3D"margin-left:15px">announcement of the challenge results</li><li style= =3D"margin-left:15px">presentations from participating teams</li><li style= =3D"margin-left:15px">a keynote talk,</li><li style=3D"margin-left:15px">a = discussion of future directions for hearing aid machine learning challenges= .</li></ul></div><b>Invited Talk<br></b><br>- Theo Goverts, Vrije Universit= eit Amsterdam<br><br><b>Organisers<br></b><br>The Clarity Project Team<br>M= ichael Akeroyd, University of Nottingham<br>Will Bailley, =C2=A0University = of Sheffield<br>Jon Barker, =C2=A0University of Sheffield<br>Trevor Cox, Un= iversity of Salford<br>John Culling, =C2=A0University of Cardiff<br>Lara Ha= rris, University of Salford<br>Graham Naylor, University of Nottingham<br>Z= uza Podwinska, University of Salford<br>Zehai Tu, =C2=A0University of Sheff= ield<br><div><br></div>-- <br><div dir=3D"ltr" class=3D"gmail_signature" da= ta-smartmail=3D"gmail_signature"><div dir=3D"ltr"><div><div dir=3D"ltr">Pro= fessor Jon Barker,<div><div>Department of Computer Science,</div><div>Unive= rsity of Sheffield</div><div>+44 (0) 114 222 1824</div><div><br></div></div= ></div></div></div></div></div></div> --00000000000033a73305dfb0fad6--