Subject: [AUDITORY] IEEE Listener Acoustic Personalisation Challenge: Call for Interest From: Fabian Brinkmann <000002cf67e3957e-dmarc-request@xxxxxxxx> Date: Fri, 8 Mar 2024 10:06:31 +0100--------------8Zz0IoThzkHHPR0QMRVMceal Content-Type: text/plain; charset="UTF-8"; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum3.it.mcgill.ca id 42896bp7078181 Dear Auditory, With enthusiasm, we announce the call for interest in the 1st IEEE=20 Listener Acoustic Personalisation Challenge (LAP 2024) consisting of two=20 tasks: Task 1 - HRTF harmonisation: merging and harmonising HRTF datasets=20 measured at different laboratories. Task 2 - HRTF spatial up-sampling: interpolate spatially sparse HRTF=20 containing a very low number of directions to a high-spatial-resolution. The challenge acknowledges the diverse expertise within the audio signal=20 processing community. This approach facilitates cross-pollination of=20 ideas and fosters collaborative innovation. If you are interested sign=20 up for updates on https://www.sonicom.eu/lap-challenge. Detailed=20 descriptions and requirements for the task will be announced soon. Apologies for cross-posting and please distribute the call. Best regards on behalf of the LAP team, Fabian -- Fabian Brinkmann=20 <https://www.tu.berlin/ak/ueber-uns/team/dr-fabian-brinkmann> Form of address: Fabian (no pronouns) Senior Researcher Audio Communication Group Technische Universit=C3=A4t Berlin mail: fabian.brinkmann@xxxxxxxx phon: +49 30 314 70336 ----- CALL FOR INTEREST Personalised Head-Related Transfer Functions (HRTFs) have been shown to=20 enhance auditory localization and immersion in mixed realities. However,=20 relevant issues, such as the accurate acquisition of user-specific=20 anatomical data, efficient simulation algorithms, and effective user=20 validation, do not converge into a common and internationally recognized=20 benchmark for evaluating HRTFs. The LAP Challenge endeavours to provide a platform where researchers can=20 explore these challenges, advance state-of-the-art, and contribute to=20 developing standardised metrics for personalised spatial audio. The 2024 inaugural edition will concentrate on two fundamental aspects=20 of HRTF: spatial sampling and interpolation. Teams are challenged to=20 submit their solutions that address one or both of two tasks. * Task 1. HRTF harmonisation and normalisation for merging different HRTF datasets. * Task 2. HRTF spatial up-sampling for obtaining a high-spatial-resolution HRTF from a very low number of directions. The 1st LAP Challenge is supported by * the IEEE Signal Processing Society: https://signalprocessingsociety.org/publications-resources/data-chall= enges/listener-acoustic-personalisation-lap-challenge-2024 * the EU research project SONICOM (H2020-FETPROACT-2018-2020): https://www.sonicom.eu/ Top-ranked solutions will be invited to submit a paper describing their=20 method and result to be published in the IEEE Open Journal of Signal=20 Processing (OJ-SP), a fully open-access publication of the IEEE Signal=20 Processing Society, with a scope encompassing the full range of=20 technical activities of the Society.=C2=A0 Article processing charge (APC= )=20 waivers will also be available upon request. Since the challenge provides original data and evaluation processes,=20 participants also have the flexibility to submit already published=20 solutions. Moreover, the challenge will have an award ceremony hosted by the=20 premier European conference on signal processing: the 32nd European=20 Signal Processing Conference, EUSIPCO 2024, to be held in Lyon, France,=20 on August 29th, 2024. Winners of the two tasks will be invited to=20 participate and reimbursed for the registration fee to EUSIPCO24 and,=20 until available funds are reached, for travel and accommodation. IMPORTANT: To express your interest and stay updated on the key stages of the=20 challenge, sign up for the dedicated mailing list directly on the=20 official LAP web page: https://www.sonicom.eu/lap-challenge DATES * Registration opening: March 27, 2024 * Solution submission: June 25, 2024 * Award ceremony: August 29, 2024 ORGANIZERS Michele Geronazzo, University of Padova, IT, and Imperial College=20 London, UK Lorenzo Picinali, Imperial College London, UK Roberto Barumerli, University of Verona, IT, Fabian Brinkmann, Technische Universit=C3=A4t Berlin, DE Rapolas Daugintis, Imperial College London, UK Aidan Hogg, Queen Mary University of London, UK Glen McLachlan, University of Antwerp, BE Stavros Ntalampiras, University of Milan, IT Johan Pauwels, Queen Mary University of London, UK Katarina Poole, Imperial College London, UK --------------8Zz0IoThzkHHPR0QMRVMceal Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum3.it.mcgill.ca id 42896bp7078181 <!DOCTYPE html> <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3DUTF= -8"> </head> <body> Dear Auditory,<br> <br> With enthusiasm, we announce the call for interest in the 1st IEEE Listener Acoustic Personalisation Challenge (LAP 2024) consisting of two tasks:<br> <br> Task 1 - HRTF harmonisation: merging and harmonising HRTF datasets measured at different laboratories.<br> <br> Task 2 - HRTF spatial up-sampling: interpolate spatially sparse HRTF containing a very low number of directions to a high-spatial-resolution.<br> <br> The challenge acknowledges the diverse expertise within the audio signal processing community. This approach facilitates cross-pollination of ideas and fosters collaborative innovation. If you are interested sign up for updates on <a class=3D"moz-txt-link-freetext" href=3D"https://www.sonicom.eu/lap= -challenge">https://www.sonicom.eu/lap-challenge</a>. Detailed descriptio= ns and requirements for the task will be announced soon.<br> =C2=A0<br> Apologies for cross-posting and please distribute the call.<br> <br> Best regards on behalf of the LAP team,<br> Fabian<br> <br> --<br> <a href=3D"https://www.tu.berlin/ak/ueber-uns/team/dr-fabian-brinkmann= ">Fabian Brinkmann</a><br> Form of address: Fabian (no pronouns)<br> <br> Senior Researcher<br> Audio Communication Group<br> Technische Universit=C3=A4t Berlin<br> <br> mail: <a class=3D"moz-txt-link-abbreviated" href=3D"mailto:fabian.bri= nkmann@xxxxxxxx">fabian.brinkmann@xxxxxxxx</a><br> phon: +49 30 314 70336<br> <br> =C2=A0<br> -----<br> CALL FOR INTEREST<br> Personalised Head-Related Transfer Functions (HRTFs) have been shown to enhance auditory localization and immersion in mixed realities. However, relevant issues, such as the accurate acquisition of user-specific anatomical data, efficient simulation algorithms, and effective user validation, do not converge into a common and internationally recognized benchmark for evaluating HRTFs.<br> The LAP Challenge endeavours to provide a platform where researchers can explore these challenges, advance state-of-the-art, and contribute to developing standardised metrics for personalised spatial audio. <br> <br> The 2024 inaugural edition will concentrate on two fundamental aspects of HRTF: spatial sampling and interpolation. Teams are challenged to submit their solutions that address one or both of two tasks.<br> <ul> <li>Task 1. HRTF harmonisation and normalisation for merging different HRTF datasets.</li> <li>Task 2. HRTF spatial up-sampling for obtaining a high-spatial-resolution HRTF from a very low number of directions.</li> </ul> =C2=A0<br> The 1st LAP Challenge is supported by<br> <ul> <li>the IEEE Signal Processing Society: <a class=3D"moz-txt-link-freetext" href=3D"https://signalprocessingsociet= y.org/publications-resources/data-challenges/listener-acoustic-personalis= ation-lap-challenge-2024">https://signalprocessingsociety.org/publication= s-resources/data-challenges/listener-acoustic-personalisation-lap-challen= ge-2024</a></li> <li>the EU research project SONICOM (H2020-FETPROACT-2018-2020):=C2= =A0 <a class=3D"moz-txt-link-freetext" href=3D"https://www.sonicom.eu= /">https://www.sonicom.eu/</a></li> </ul> <br> Top-ranked solutions will be invited to submit a paper describing their method and result to be published in the IEEE Open Journal of Signal Processing (OJ-SP), a fully open-access publication of the IEEE Signal Processing Society, with a scope encompassing the full range of technical activities of the Society.=C2=A0 Article processin= g charge (APC) waivers will also be available upon request.<br> Since the challenge provides original data and evaluation processes, participants also have the flexibility to submit already published solutions. <br> =C2=A0<br> Moreover, the challenge will have an award ceremony hosted by the premier European conference on signal processing: the 32nd European Signal Processing Conference, EUSIPCO 2024, to be held in Lyon, France, on August 29th, 2024. Winners of the two tasks will be invited to participate and reimbursed for the registration fee to EUSIPCO24 and, until available funds are reached, for travel and accommodation.<br> <br> IMPORTANT: <br> To express your interest and stay updated on the key stages of the challenge, sign up for the dedicated mailing list directly on the official LAP web page:<br> <a class=3D"moz-txt-link-freetext" href=3D"https://www.sonicom.eu/lap= -challenge">https://www.sonicom.eu/lap-challenge</a><br> <br> DATES<br> <ul> <li>Registration opening: March 27, 2024</li> <li>Solution submission: June 25, 2024</li> <li>Award ceremony: August 29, 2024</li> </ul> <br> ORGANIZERS<br> Michele Geronazzo, University of Padova, IT, and Imperial College London, UK =C2=A0=C2=A0 =C2=A0<br> Lorenzo Picinali, Imperial College London, UK<br> Roberto Barumerli, University of Verona, IT,=C2=A0=C2=A0 =C2=A0<br> Fabian Brinkmann, Technische Universit=C3=A4t Berlin, DE<br> Rapolas Daugintis, Imperial College London, UK<br> Aidan Hogg, Queen Mary University of London, UK<br> Glen McLachlan, University of Antwerp, BE<br> Stavros Ntalampiras, University of Milan, IT =C2=A0<br> Johan Pauwels, Queen Mary University of London, UK<br> Katarina Poole, Imperial College London, UK<br> <br> </body> </html> --------------8Zz0IoThzkHHPR0QMRVMceal--