Subject: [AUDITORY] [cfp] Final call for papers - 2021 ISCA Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021) From: Jon Barker <j.p.barker@xxxxxxxx> Date: Sun, 13 Jun 2021 19:03:21 +0100--00000000000016b0c805c4a98f5f Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable -- Apologies for cross-listing -- -- Please forward to other interested colleagues -- Submission deadline extended by one week to 22nd June =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 2021 ISCA Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021) Online Event, 17th September, 2021 claritychallenge.github.io/clarity2021-workshop/ =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 IMPORTANT DATES 15th 22nd June, 2021 - Clarity Challenge and Workshop paper submission deadline 1st July, 2021 - Workshop registration opens 2nd August, 2021 - Paper acceptance notification to authors 17th September - Workshop / Clarity Challenge results announced 17th October, 2021 - Final Challenge paper submission (2 to 6 pages) One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. Inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss. The aim of this one-day virtual workshop is to report on the Clarity Enhancement Challenge, the first-ever machine learning challenge targeted at helping those with a hearing impairment. The challenge was launched at the start of 2021, and is seeking to find new approaches to signal processing in hearing aids. (For details of the challenge please visit the Clarity Challenge website.) The Clarity-2021 workshop will be focused on presenting the 1st Clarity Enhancement Challenge, but is also open to relevant non-challenge papers. Relevant research topics include (but are not limited to) - Models of speech intelligibility and quality for normal and hearing impaired listeners - Applications of auditory scene analysis - Binaural technology for speech enhancement and source separation - Multi-microphone processing technology - Real-time approaches to speech enhancement - Statistical model-driven approaches to hearing aid processing - Audio quality & intelligibility assessment hearing aid and cochlear implant users - Efficient and effective integration of psychoacoustic testing in machine learning - Machine learning for diverse target listeners - Machine learning models of hearing impairment For further workshop information please visit the workshop website ( https://claritychallenge.github.io/clarity2021-workshop). For information on the Clarity Challenge visit the Clarity project page ( http://claritychallenge.org) *Organisers* The Clarity Project Team Prof Michael Akeroyd, University of Nottingham Prof Jon Barker, University of Sheffield Prof Trevor Cox, University of Salford Prof John Culling, University of Cardiff Dr Simone Graetzer, University of Salford Prof Graham Naylor, University of Nottingham Eszter Porter, University of Nottingham Dr Rhoddy Viveros Mu=C3=B1oz, University of Cardiff --=20 Professor Jon Barker, Department of Computer Science, University of Sheffield +44 (0) 114 222 1824 --00000000000016b0c805c4a98f5f Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">-- Apologies for cross-listing --<br>-- Please forward to = other interested colleagues --<br><br>Submission deadline extended=C2=A0by = one week to 22nd June<div><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<br><br>2021 ISCA Workshop on Machin= e Learning Challenges for Hearing Aids (Clarity-2021)<br>Online Event, 17th= September, 2021<br><a href=3D"http://claritychallenge.github.io/clarity202= 1-workshop/" target=3D"_blank">claritychallenge.github.io/clarity2021-works= hop/</a><br><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<br><br>IMPORTANT DATES<br><br><strike>15th</str= ike>=C2=A0 22nd June, 2021 - Clarity Challenge and Workshop paper submissio= n deadline<br>1st July, 2021 - Workshop registration opens<br>2nd August, 2= 021 - Paper acceptance notification to authors =C2=A0<br>17th September - W= orkshop / Clarity Challenge results announced<br>17th October, 2021 - Final= Challenge paper submission (2 to 6 pages)<br><br>One of the biggest challe= nges for hearing-impaired listeners is understanding speech in the presence= of background noise. Everyday social noise levels can have a devastating i= mpact on speech intelligibility. Inability to communicate effectively can l= ead to social withdrawal and isolation. Disabling hearing impairment affect= s 360 million people worldwide, with that number increasing because of the = ageing population. Unfortunately, current hearing aid technology is often i= neffective in noisy situations. Although amplification can restore audibili= ty, it does not compensate fully for the effects of hearing loss.<br><br>Th= e aim of this one-day virtual workshop is to report on the Clarity Enhancem= ent Challenge, the first-ever machine learning challenge targeted at helpin= g those with a hearing impairment. The challenge was launched at the start = of 2021, and is seeking to find new approaches to signal processing in hear= ing aids. (For details of the challenge please visit the Clarity Challenge = website.)<br><br>The Clarity-2021 workshop will be focused on presenting th= e 1st Clarity Enhancement Challenge, but is also open to relevant non-chall= enge papers. Relevant research topics include (but are not limited to)<br><= br>- Models of speech intelligibility and quality for normal and hearing im= paired listeners<br>- Applications of auditory scene analysis<br>- Binaural= technology for speech enhancement and source separation<br>- Multi-microph= one processing technology<br>- Real-time approaches to speech enhancement<b= r>- Statistical model-driven approaches to hearing aid processing<br>- Audi= o quality & intelligibility assessment hearing aid and cochlear implant= users<br>- Efficient and effective integration of psychoacoustic testing i= n machine learning<br>- Machine learning for diverse target listeners<br>- = Machine learning models of hearing impairment<br><br>For further workshop i= nformation please visit the workshop website (<a href=3D"https://claritycha= llenge.github.io/clarity2021-workshop" target=3D"_blank">https://claritycha= llenge.github.io/clarity2021-workshop</a>). For information on the Clarity = Challenge visit the Clarity project page (<a href=3D"http://claritychalleng= e.org/" target=3D"_blank">http://claritychallenge.org</a>)<br><br><b>Organi= sers<br></b><br>The Clarity Project Team<br>Prof Michael Akeroyd, Universit= y of Nottingham<br>Prof Jon Barker, =C2=A0University of Sheffield<br>Prof T= revor Cox, University of Salford<br>Prof John Culling, =C2=A0University of = Cardiff<br>Dr Simone Graetzer, University of Salford<br>Prof Graham Naylor,= University of Nottingham<br>Eszter Porter, University of Nottingham<br>Dr = Rhoddy Viveros Mu=C3=B1oz, University of Cardiff<div class=3D"gmail-yj6qo">= </div><div class=3D"gmail-adL"><br><br></div><div class=3D"gmail-adL"><br><= /div><div dir=3D"ltr" class=3D"gmail-adL"><div dir=3D"ltr"><div><div dir=3D= "ltr"><div><div><br></div></div></div></div></div></div><div><br></div>-- <= br><div dir=3D"ltr" class=3D"gmail_signature" data-smartmail=3D"gmail_signa= ture"><div dir=3D"ltr"><div><div dir=3D"ltr">Professor Jon Barker,<div><div= >Department of Computer Science,</div><div>University of Sheffield</div><di= v>+44 (0) 114 222 1824</div><div><br></div></div></div></div></div></div></= div></div> --00000000000016b0c805c4a98f5f--