CFP: MML 2016 9th International Workshop on Machine Learning and Music (Rafael Ramirez Melendez )


Subject: CFP: MML 2016 9th International Workshop on Machine Learning and Music
From:    Rafael Ramirez Melendez  <rafael.ramirez@xxxxxxxx>
Date:    Tue, 31 May 2016 10:37:32 +0200
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

This is a multi-part message in MIME format. --------------7A76905B694081030951E61B Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum1.it.mcgill.ca id u4V8bb0b026509 [apologies for multiple postings] *Call for Papers* *MML 2016: 9th International Workshop on Machine Learning and Music* https://sites.google.com/site/musicmachinelearning16/ Held in Conjunction with the European Conference on Machine Learning and=20 Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 20= 16) September 23, 2016 Riba del Garda, Italy *Motivation * Machine learning has permeated nearly every area of music informatics,=20 driven by a profusion of recordings available in digital audio formats,=20 steady improvements to the accessibility and quality of symbolic=20 corpora, availability of powerful algorithms in standard machine=20 learning toolboxes, and theoretical advances in machine learning and=20 data mining. As complexity of the problems investigated by researchers=20 on machine learning and music increases, there is a need to develop new=20 algorithms and methods to solve these problems. As a consequence,=20 research on machine learning and music is an active and growing field=20 reflected in international meetings such as the International Workshops=20 on Machine Learning and Music (MML): MML=E2=80=9908 (Helsinki, Finland), = MML=E2=80=9909=20 (Bled, Slovenia), MML'10 (Florence, Italy), MML=E2=80=9911 (Sierra Nevada= ,=20 Spain), MML'12 (Edinburgh, Scotland), MML'13 (Prague, Czech Republic),=20 MML14 (Barcelona, Spain), and MML15 (Vancouver, Canada). *Topics * Papers in all applications on music and machine learning are welcome,=20 including but not limited to automatic classification of music (audio=20 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 * beat tracking * expressive performance modeling *Important Dates* Paper Submission Deadline: July 4, 2016 Acceptance Notification: July 25, 2016 Final versions due: August 8, 2016 Workshop Date: September 23, 2016 *Submissions of Papers* Papers of up to 5 printed pages in LNCS format are welcome. Submissions=20 will be evaluated according to their originality and relevance to the=20 workshop, and should include author names, affiliations, contact=20 information, and an abstract of 60-100 words. Contributions should be in=20 PDF format and submitted to the workshop email address=20 musmachlear@xxxxxxxx <mailto:musmachlear@xxxxxxxx>. LNCS format=20 details can be found here=20 <http://www.springer.com/computer/lncs?SGWID=3D0-164-6-793341-0>. *Registration* Workshop registration will be handled by the main conference, please=20 check ECML/PKDD'16 for more details. *Special Issue* A special issue of the Journal of New Music Research based on selected=20 papers from the workshop is planned. *Organizers* Rafael Ramirez, Universitat Pompeu Fabra, Spain Darrell Conklin, University of the Basque Country, Spain Jos=C3=A9 Manuel I=C3=B1esta, University of Alicante, Spain --------------7A76905B694081030951E61B Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum1.it.mcgill.ca id u4V8bb0b026509 <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3Dutf= -8"> </head> <body bgcolor=3D"#FFFFFF" text=3D"#000000"> [apologies for multiple postings] <div class=3D"moz-forward-container"> <div dir=3D"ltr"> <div><br> </div> <div><b>Call for Papers</b></div> <div><br> </div> <div><b>MML 2016: 9th International Workshop on Machine Learning and Music</b></div> <div><a moz-do-not-send=3D"true" href=3D"https://sites.google.com/site/musicmachinelearning16/= ">https://sites.google.com/site/musicmachinelearning16/</a></div> <div><br> </div> <div>Held in Conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016)</div> <div>September 23, 2016</div> <div>Riba del Garda, Italy=C2=A0</div> <div><br> </div> <div><b>Motivation=C2=A0</b></div> <div>Machine learning has 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 complexity of the problems investigated by researchers on machine learning and music increases, there is a need to develop new algorithms and methods to solve these problems. 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): MML=E2=80=9908 (Helsinki, Finland), MML=E2=80=9909= (Bled, Slovenia), MML'10 (Florence, Italy), MML=E2=80=9911 (Sierra Nev= ada, Spain), MML'12 (Edinburgh, Scotland), MML'13 (Prague, Czech Republic), MML14 (Barcelona, Spain), and MML15 (Vancouver, Canada).</div> <div><br> </div> <div><b>Topics=C2=A0</b></div> <div>Papers in all applications on music and machine learning are welcome, including but not limited to automatic classification of music (audio and MIDI)=C2=A0</div> <div> <ul> <li>style-based interpreter recognition<br> </li> <li>automatic composition and improvisation<br> </li> <li>music recommender systems, genre and tag prediction<br> </li> <li>score alignment<br> </li> <li>polyphonic pitch detection<br> </li> <li>chord extraction<br> </li> <li>pattern discovery<br> </li> <li>beat tracking<br> </li> <li>expressive performance modeling<br> </li> </ul> </div> <div><br> </div> <div><b>Important Dates</b></div> <div>Paper Submission Deadline: July 4, 2016</div> <div>Acceptance Notification: July 25, 2016</div> <div>Final versions due: August 8, 2016</div> <div>Workshop Date: September 23, 2016</div> <div><br> </div> <div><b>Submissions of Papers</b></div> <div>Papers of up to 5 printed pages 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 to the workshop email address <a moz-do-not-send=3D"true" href=3D"mailto:musmachlear@xxxxxxxx= "><a class=3D"moz-txt-link-abbreviated" href=3D"mailto:musmachlear@xxxxxxxx= com">musmachlear@xxxxxxxx</a></a>. LNCS format details can be found <a moz-do-not-send=3D"true" href=3D"http://www.springer.com/computer/lncs?SGWID=3D0-164-6= -793341-0">here</a>.</div> <div><br> </div> <div><b>Registration</b></div> <div>Workshop registration will be handled by the main conference, please check ECML/PKDD'16 for more details.=C2=A0</= div> <div><br> </div> <div><b>Special Issue</b></div> <div>A special issue of the Journal of New Music Research based on selected papers from the workshop is planned.</div> <div><br> </div> <div><b>Organizers</b></div> <div>Rafael Ramirez, Universitat Pompeu Fabra, Spain</div> <div>Darrell Conklin, University of the Basque Country, Spain</di= v> <div>Jos=C3=A9 Manuel I=C3=B1esta, University of Alicante, Spain<= /div> </div> </div> </body> </html> --------------7A76905B694081030951E61B--


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