Subject: [AUDITORY] Call for Papers: 15th International Workshop on Machine Learning and Music From: Rafael Ramirez Melendez <rafael.ramirez@xxxxxxxx> Date: Sun, 7 Apr 2024 10:21:51 +0200This is a multi-part message in MIME format. --------------MFqxOM7lG80Il7BC6lHukmv0 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 4378Lv8V116758 [apologies for multiple postings] *CALL FOR PAPERS* *MML 2024 - =E2=80=8B15th International Workshop on Machine Learning and = Music* September 9, 2024 Vilnius, Lithuania In Conjunction with ECML/PKDD 2024 https://mml2024.weebly.com/ MOTIVATION Machine learning and artificial intelligence have permeated nearly every=20 area of music informatics, driven by a profusion of recordings available=20 in digital audio formats, steady improvements to the accessibility and=20 quality of symbolic corpora, availability of powerful algorithms in=20 standard machine learning toolboxes, and theoretical advances in machine=20 learning and data mining. As the complexity of the problems investigated=20 by researchers on machine learning and music increases, there is a need=20 to develop new algorithms and methods. As a consequence, research on=20 machine learning and music is an active and growing field reflected in=20 international meetings such as the International Workshops on Machine=20 Learning and Music (MML): 2008 (ICML, Helsinki, Finland), 2009 (ECML,=20 Bled, Slovenia), 2010 (ACM-MM, Florence, Italy), 2011 (NIPS, Sierra=20 Nevada, Spain), 2012 (ICML, Edinburgh, Scotland), 2013 (ECML/PKDD,=20 Prague, Czech Republic), 2014 (Barcelona, Spain), 2015 (ISEA, Vancouver,=20 Canada), 2016 (ECML/PKDD, Riva del Garda, Italy), 2017 (Barcelona,=20 Spain), 2018 (ICML, Stockholm, Sweden), 2019 (ECML, W=C3=BCrzburg, German= y),=20 2020 (ECML-PKDD, virtual), and 2021 (Barcelona and online).. TOPICS Papers in all applications on music and machine learning are welcome,=20 including but not limited to generative music systems, intelligent music=20 learning systems, machine learning applications to music learning,=20 automatic classification of music (audio and MIDI), style-based=20 interpreter recognition, automatic composition and improvisation, music=20 recommender systems, genre and tag prediction, score alignment,=20 polyphonic pitch detection, chord extraction, pattern discovery, music=20 analysis, beat tracking, expressive performance modeling, deep learning=20 for music processing. Audio demonstrations are encouraged when indicated by the content of the=20 paper. IMPORTANT DATES Paper Submission Deadline: June 15, 2024 Acceptance Notification: July 15, 2024 Early Registration Deadline: July 26, 2024 Workshop Date: September 9, 2024 SUBMISSIONS OF PAPERS Papers of 6 printed pages (including references) in LNCS format are=20 welcome. Submissions will be evaluated according to their originality=20 and relevance to the workshop, and should include author names,=20 affiliations, contact information, and an abstract of 60-100 words.=20 Contributions should be in PDF format and submitted via the ECML-PKDD=20 submission system. LNCS format details can be found here. REGISTRATION Registration to the Workshop will be handled by ECML/PKDD 2024. Please=20 note that at least one author of each accepted paper should register for=20 the conference. PROCEEDINGS Accepted papers will be published by Springer Verlag under their=20 Communications in Computer and Information Science (CCIS) series. =E2=80=8BORGANISERS Rafael Ramirez, Universitat Pompeu Fabra, Spain (rafael.ramirez@xxxxxxxx) Darrell Conklin, University of the Basque Country, Spain=20 (darrell.conklin@xxxxxxxx) Jos=C3=A9 Manuel I=C3=B1esta, University of Alicante, Spain (inesta@xxxxxxxx= ua.es) --------------MFqxOM7lG80Il7BC6lHukmv0 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 4378Lv8V116758 <!DOCTYPE html> <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3DUTF= -8"> </head> <body> <p>[apologies for multiple postings]<br> </p> <p><b>CALL FOR PAPERS</b><br> </p> <b>MML 2024 - =E2=80=8B15th International Workshop on Machine Learnin= g and Music</b><br> September 9, 2024 Vilnius, Lithuania<br> In Conjunction with ECML/PKDD 2024<br> <a class=3D"moz-txt-link-freetext" href=3D"https://mml2024.weebly.com= /">https://mml2024.weebly.com/</a><br> <p>MOTIVATION<br> Machine learning and artificial intelligence have permeated nearly every area of music informatics, driven by a profusion of recordings available in digital audio formats, steady improvements to the accessibility and quality of symbolic corpora, availability of powerful algorithms in standard machine learning toolboxes, and theoretical advances in machine learning and data mining. As the complexity of the problems investigated by researchers on machine learning and music increases, there is a need to develop new algorithms and methods. As a consequence, research on machine learning and music is an active and growing field reflected in international meetings such as the International Workshops on Machine Learning and Music (MML): 2008 (ICML, Helsinki, Finland), 2009 (ECML, Bled, Slovenia), 2010 (ACM-MM, Florence, Italy), 2011 (NIPS, Sierra Nevada, Spain), 2012 (ICML, Edinburgh, Scotland), 2013 (ECML/PKDD, Prague, Czech Republic), 2014 (Barcelona, Spain), 2015 (ISEA, Vancouver, Canada), 2016 (ECML/PKDD, Riva del Garda, Italy), 2017 (Barcelona, Spain), 2018 (ICML, Stockholm, Sweden), 2019 (ECML, W=C3=BCrzburg, Germany), 2020 (ECML-PKDD, virtual), and 2021 (Barcelona and online)..<br> </p> <p>TOPICS<br> Papers in all applications on music and machine learning are welcome, including but not limited to generative music systems, intelligent music learning systems, machine learning applications to music learning, automatic classification of music (audio and MIDI), style-based interpreter recognition, automatic composition and improvisation, music recommender systems, genre and tag prediction, score alignment, polyphonic pitch detection, chord extraction, pattern discovery, music analysis, beat tracking, expressive performance modeling, deep learning for music processing.</p> <p>Audio demonstrations are encouraged when indicated by the content of the paper.<br> <br> IMPORTANT DATES<br> Paper Submission Deadline: June 15, 2024<br> Acceptance Notification: July 15, 2024<br> Early Registration Deadline: July 26, 2024<br> Workshop Date: September 9, 2024<br> <br> SUBMISSIONS OF PAPERS<br> Papers of 6 printed pages (including references) in LNCS format are welcome. Submissions will be evaluated according to their originality and relevance to the workshop, and should include author names, affiliations, contact information, and an abstract of 60-100 words. Contributions should be in PDF format and submitted via the ECML-PKDD submission system. LNCS format details can be found here.<br> <br> REGISTRATION<br> Registration to the Workshop will be handled by ECML/PKDD 2024. Please note that at least one author of each accepted paper should register for the conference.<br> <br> PROCEEDINGS<br> Accepted papers will be published by Springer Verlag under their Communications in Computer and Information Science (CCIS) series.<b= r> <br> =E2=80=8BORGANISERS<br> Rafael Ramirez, Universitat Pompeu Fabra, Spain (<a class=3D"moz-txt-link-abbreviated" href=3D"mailto:rafael.ramire= z@xxxxxxxx">rafael.ramirez@xxxxxxxx</a>)<br> Darrell Conklin, University of the Basque Country, Spain (<a class=3D"moz-txt-link-abbreviated" href=3D"mailto:darrell.conkl= in@xxxxxxxx">darrell.conklin@xxxxxxxx</a>)<br> Jos=C3=A9 Manuel I=C3=B1esta, University of Alicante, Spain (<a class=3D"moz-txt-link-abbreviated" href=3D"mailto:inesta@xxxxxxxx= a.es">inesta@xxxxxxxx</a>)</p> <p></p> </body> </html> --------------MFqxOM7lG80Il7BC6lHukmv0--