Subject: [AUDITORY] Deadline Extension: 12th International Workshop on Machine Learning and Music From: Rafael Ramirez Melendez <rafael.ramirez@xxxxxxxx> Date: Fri, 28 Jun 2019 11:29:57 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>This is a multi-part message in MIME format. --------------531EF27BF52BDCE56B8C2AFD Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id x5S9R3pg015409 [Apologies for multiple postings] *Submission deadline extension: July 12, 2019* 12th International Workshop on Machine Learning and Music (MML2019) Monday, September 16, 2019 W=C3=BCrzburg, Germany https://musml2019.weebly.com <https://musml2019.weebly.com/> In Conjunction with ECML/PKDD 2019 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), and 2018 (ICML, Stockholm, Sweden). TOPICS Papers in all applications on music and machine learning are welcome,=20 including but not limited to * 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 * similarity Audio demonstrations are encouraged when indicated by the content of the=20 paper. IMPORTAT DATES Paper Submission Deadline: July 12, 2019 Acceptance Notification: July 20, 2019 Final versions due: July 26, 2019 Workshop Date: September 16, 2019 SUBMISSIONS OF PAPERS Papers of up to 6 printed pages (including references) in LNCS format=20 are welcome. Submissions will be evaluated according to their=20 originality and relevance to the workshop, and should include author=20 names, affiliations, contact information, and an abstract of 60-100=20 words. Contributions should be in PDF format and submitted via Easychair=20 following this link. LNCS format details can be found here. PROCEEDINGS Accepted papers will be published by Springer Verlag under their Lecture=20 Notes in Computer Science (LNCS) series. ORGANISERS Rafael Ramirez, Universitat Pompeu Fabra, Spain (rafael.ramirez@xxxxxxxx=20 <mailto: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=20 <mailto:inesta@xxxxxxxx>) --------------531EF27BF52BDCE56B8C2AFD Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id x5S9R3pg015409 <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3DUTF= -8"> </head> <body text=3D"#000000" bgcolor=3D"#FFFFFF"> <p> [Apologies for multiple postings] </p> <div class=3D"moz-forward-container"> <div class=3D"moz-forward-container"> <div dir=3D"ltr"> <div><br> </div> <div><b>Submission deadline extension: July 12, 2019</b><br> </div> <div><br> </div> <div>12th International Workshop on Machine Learning and Music (MML2019)</div> <div>Monday, September 16, 2019 <br> </div> <div>W=C3=BCrzburg, Germany</div> <div><a href=3D"https://musml2019.weebly.com/" moz-do-not-send=3D"true">https://musml2019.weebly.com</a></= div> <div>In Conjunction with ECML/PKDD 2019</div> <div><br> </div> <div>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), and 2018 (ICML, Stockholm, Sweden).<br> <br> TOPICS<br> </div> <div>Papers in all applications on music and machine learning are welcome, including but not limited to <ul> <li>intelligent music learning systems</li> <li>machine learning applications to music learning</li> <li>automatic classification of music (audio and MIDI)</li> <li>style-based interpreter recognition</li> <li>automatic composition and improvisation</li> <li>music recommender systems, genre and tag prediction</li= > <li>score alignment</li> <li>polyphonic pitch detection</li> <li>chord extraction</li> <li>pattern discovery</li> <li>music analysis</li> <li>beat tracking</li> <li>expressive performance modeling</li> <li>similarity</li> </ul> Audio demonstrations are encouraged when indicated by the content of the paper.<br> <br> IMPORTAT DATES<br> Paper Submission Deadline: July 12, 2019<br> Acceptance Notification: July 20, 2019<br> Final versions due: July 26, 2019<br> Workshop Date: September 16, 2019<br> <br> SUBMISSIONS OF PAPERS<br> Papers of up to 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 Easychair following this link. LNCS format details can be found here.<br> <br> PROCEEDINGS<br> Accepted papers will be published by Springer Verlag under their Lecture Notes in Computer Science (LNCS) series.</div> <div><br> </div> <div>ORGANISERS<br> Rafael Ramirez, Universitat Pompeu Fabra, Spain (<a href=3D"mailto:rafael.ramirez@xxxxxxxx" moz-do-not-send=3D"true">rafael.ramirez@xxxxxxxx</a>)<br> Darrell Conklin, University of the Basque Country, Spain (<a class=3D"moz-txt-link-abbreviated" href=3D"mailto:darrell.conklin@xxxxxxxx" moz-do-not-send=3D"true">darrell.conklin@xxxxxxxx</a>)<br> Jos=C3=A9 Manuel I=C3=B1esta, University of Alicante, Spain (= <a href=3D"mailto:inesta@xxxxxxxx" moz-do-not-send=3D"true">= inesta@xxxxxxxx</a>)</div> <div><span style=3D"color:rgb(255,255,255);font-family:"Quattroce= nto Sans",sans-serif;font-size:20px;font-style:normal;font-variant-ligat= ures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:norma= l;text-align:left;text-indent:0px;text-transform:none;white-space:normal;= word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:= initial;text-decoration-color:initial;display:inline;float:none"></span><= span style=3D"color:rgb(255,255,255);font-family:"Quattrocento Sans",sans-serif;font-size:20px;font-style:normal;font-variant-ligat= ures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:norma= l;text-align:left;text-indent:0px;text-transform:none;white-space:normal;= word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:= initial;text-decoration-color:initial;display:inline;float:none"><br> </span></div> </div> </div> </div> </body> </html> --------------531EF27BF52BDCE56B8C2AFD--