[ISMIR-Community] Final call for submissions to a Special Collection (David Meredith )

Subject: [ISMIR-Community] Final call for submissions to a Special Collection From: David Meredith <dave@xxxxxxxx> Date: Sat, 2 Jul 2022 18:29:11 +0000 --_000_964E23EA5EB34B3F8D110E64809313BBcreateaaudk_ Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Dear list members, Please find below our final call for submissions to our special collection = of Music & Science on =E2=80=9CExplaining music with AI: Advancing the scie= ntific understanding of music through computation=E2=80=9D. Note that there is no need to send an expression of interest at this stage.= Note also that the deadline for submission is 31 August 2022 and that we e= xpect to have the collection published by May 2023. Kind regards, David Meredith, Anja Volk and Tom Collins Final Call for Papers for a Special Collection of Music & Science on =E2=80=9CExplaining music with AI: Advancing the scientific understanding o= f music through computation=E2=80=9D Guest edited by David Meredith, Anja Volk & Tom Collins In recent years, a huge number of publications, particularly in the areas o= f music information retrieval and music generation, have reported on projec= ts in which deep learning neural network models have been used successfully= to carry out a wide variety of generation, regression and classification t= asks on musical data. This work has significantly contributed to the arsena= l of computational tools that we have at our disposal, if we want to explor= e, organise, create or simply enjoy digital music resources. However, the majority of such models are =E2=80=9Cblack box=E2=80=9D models= that have thousands or even millions of free parameters, whose values are = determined through training on, typically, large amounts of data. The compu= ting pioneer, John von Neumann, allegedly joked, =E2=80=9CWith four free va= riables I can fit an elephant and with five I can make him wiggle his trunk= =E2=80=9D (Freeman Dyson, 2004, =E2=80=9CA meeting with Enrico Fermi=E2=80= =9D, Nature, 427:297). Such considerations prompt us to question whether su= ch black-box deep learning models make a significant contribution to our sc= ientific understanding of music, musical processes and musical behaviour. For this special collection, we seek high quality contributions that report= on recent research in which any computational method has been used to adva= nce our understanding of how and why music is created, communicated and rec= eived. We are particularly interested in shining a light on computational m= ethods that have perhaps not received the attention they deserve because of= the dominance of deep learning in recent years. At the same time, contribu= tions in which deep learning and other neural network models have been show= n to advance the scientific understanding of music are also very welcome. Submissions may address any aspect of musical behaviour, including, but not= limited to, composition, improvisation, performance, listening, musical ge= stures and dance. Contributions may also focus on any aspects of music, e.g= ., rhythm, harmony, melody, counterpoint, instrumentation or timbre. We lik= ewise set no constraints on the considered music=E2=80=99s style, genre, pe= riod or place of origin. However, the reported work must have adopted a com= putational approach that has led to an advancement in our scientific unders= tanding of music. We are also keen to cover a variety of application areas where music is put= to use, not only for pure entertainment or artistic purposes, but also, fo= r example, in healthcare, in rituals and ceremonies, in meditation, in film= soundtracks or video games, or in politics or advertising. We welcome, in = particular, contributions where a computational approach has been employed = in conjunction with methodologies and knowledge from other fields, such as = psychology, neuroscience, musicology, sociology, biology, physics, anthropo= logy or ethnomusicology. The deadline for submission of full manuscripts is Wednesday 31 August 2022= . Full manuscripts will need to be submitted using the online submission sy= stem at https://mc.manuscriptcentral.com/mns and should follow the Submissi= on Guidelines, which can be accessed at https://journals.sagepub.com/author= -instructions/MNS. Accepted papers in this collection will be published with open access by th= e end of May 2023. Important dates * Submission of first version of full manuscript: By Wednesday 31 Augus= t 2022 * First decision on manuscript sent to authors: By Wednesday 30 Novembe= r 2022 * Submission of revised manuscripts: By Tuesday 28 February 2022 * Results of reviews of revised manuscripts sent to authors: By Tuesday= 2 May 2023 * Publication of accepted papers online: By Wednesday 31 May 2023 Kind regards, David Meredith Department of Architecture, Design, and Media Technology, Aalborg Universit= y, Denmark Anja Volk Department of Information and Computing Sciences, Utrecht University, The N= etherlands Tom Collins Department of Music, University of York, United Kingdom --=20 Open-access journal Transactions of ISMIR, open for submissions: https://ti= smir.ismir.net --- ISMIR 2021 will take place online, November 8-12, 2021 ISMIR 2022 will take place in Bangalore, India ISMIR Home -- http://www.ismir.net/ --- Please note! This list is lightly moderated, any email sent from a non-memb= er address will be queued until it can be reviewed by a human. Be sure to j= oin before posting! ---=20 You received this message because you are subscribed to the Google Groups "= Community Announcements" group. To unsubscribe from this group and stop receiving emails from it, send an e= mail to community+unsubscribe@xxxxxxxx To view this discussion on the web visit https://groups.google.com/a/ismir.= net/d/msgid/community/964E23EA-5EB3-4B3F-8D11-0E64809313BB%40create.aau.dk. --_000_964E23EA5EB34B3F8D110E64809313BBcreateaaudk_ Content-Type: text/html; charset="UTF-8" Content-ID: <288FF408F586D84884F3290714BC4E01@xxxxxxxx> Content-Transfer-Encoding: quoted-printable <html xmlns:o=3D"urn:schemas-microsoft-com:office:office" xmlns:w=3D"urn:sc= hemas-microsoft-com:office:word" xmlns:m=3D"http://schemas.microsoft.com/of= fice/2004/12/omml" xmlns=3D"http://www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dutf-8"> <meta name=3D"Generator" content=3D"Microsoft Word 15 (filtered medium)"> <style></style> </head> <body lang=3D"EN-GB" link=3D"#0563C1" vlink=3D"#954F72" style=3D"word-wrap:= break-word"> <div class=3D"WordSection1"> Dear list members,<o:p></o:p><= /span> Please find below our final ca= ll for submissions to our special collection of Music & Science on =E2=80=9CExplaining music with AI: Advancing = the scientific understanding of music through computation=E2=80=9D.<o:p></o= :p> Note that there is no need to = send an expression of interest at this stage. Note also that the deadline f= or submission is 31 August 2022 and that we expect to have the collection p= ublished by May 2023.<o:p></o:p> Kind regards,<o:p></o:p></span= > <div style=3D"mso-element:para-border-div;border:none;border-bottom:double = windowtext 2.25pt;padding:0cm 0cm 1.0pt 0cm"> David Meredith, Anja Volk and = Tom Collins<o:p></o:p> <o:p> </o:p> </div> Final Call for Papers for a= Special Collection of Music & Science on <o:p></o:p> =E2=80=9CExplaining music w= ith AI: Advancing the scientific understanding of music through computation= =E2=80=9D<o:p></o:p> Guest edited by David Mered= ith, Anja Volk & Tom Collins<o:p></o:p> In recent years, a huge number= of publications, particularly in the areas of music information retrieval = and music generation, have reported on projects in which deep learning neur= al network models have been used successfully to carry out a wide variety of generation, regression and classification t= asks on musical data. This work has significantly contributed to the arsena= l of computational tools that we have at our disposal, if we want to explor= e, organise, create or simply enjoy digital music resources. <o:p></o:p> However, the majority of such = models are =E2=80=9Cblack box=E2=80=9D models that have thousands or even m= illions of free parameters, whose values are determined through training on= , typically, large amounts of data. The computing pioneer, John von Neumann, allegedly joked, =E2=80=9CWith four free var= iables I can fit an elephant and with five I can make him wiggle his trunk<= /i>=E2=80=9D (Freeman Dyson, 2004, =E2=80=9CA meeting with Enrico Fermi=E2= =80=9D, Nature, 427:297). Such considerations prompt us to question whether = such black-box deep learning models make a significant contribution to our scientific understanding of music, musical processes and musical beh= aviour.<o:p></o:p> For this special collection, w= e seek high quality contributions that report on recent research in which any computational method has been used to advance our understanding o= f how and why music is created, communicated and received. We are p= articularly interested in shining a light on computational methods that hav= e perhaps not received the attention they deserve because of the dominance of deep learning in recent years. At= the same time, contributions in which deep learning and other neural netwo= rk models have been shown to advance the scientific understanding of music = are also very welcome.<o:p></o:p> Submissions may address any as= pect of musical behaviour, including, but not limited to, composition, impr= ovisation, performance, listening, musical gestures and dance. Contribution= s may also focus on any aspects of music, e.g., rhythm, harmony, melody, counterpoint, instrumentation or tim= bre. We likewise set no constraints on the considered music=E2=80=99s style= , genre, period or place of origin. However, the reported work must have ad= opted a computational approach that has led to an advancement in our scientific understanding of music.<o:p= ></o:p> We are also keen to cover a va= riety of application areas where music is put to use, not only for pure ent= ertainment or artistic purposes, but also, for example, in healthcare, in r= ituals and ceremonies, in meditation, in film soundtracks or video games, or in politics or advertising. We welc= ome, in particular, contributions where a computational approach has been e= mployed in conjunction with methodologies and knowledge from other fields, = such as psychology, neuroscience, musicology, sociology, biology, physics, anthropology or ethnomusicology.<= /span><o:p></o:p> The deadline for submission of= full manuscripts is Wednesday 31 August 2022. Full manuscripts will need to be su= bmitted using the online submission system at <a href=3D"https://mc.manuscriptcentral.com/mns">https://mc.manuscriptcentral.com/mns</a>= and should follow the Submiss= ion Guidelines, which can be accessed at <a href=3D"https://journals.sagepub.com/author-instructions/MNS"= >https://journals.sagepub.co= m/author-instructions/MNS</a>.<o:p></o:p> Accepted papers in this collec= tion will be published with open access by the end of May 2023.<o:p></o:p> <h2 style=3D"mso-margin-top-alt:18.0pt;margin-right:0cm;margin-bottom:6.0pt= ;margin-left:0cm"> Important dates<o:p></o:p></h2> <ul style=3D"margin-top:0cm;padding-inline-start:48px" type=3D"disc"> <li style=3D"color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level= 1 lfo2;vertical-align:baseline"> Submission of first version of full man= uscript: By Wednesday 31 August= 2022<o:p></o:p></li><li style=3D"color:black;margin-top:0cm;margin-= bottom:0cm;mso-list:l0 level1 lfo2;vertical-align:baseline"> First decision on manuscript sent to au= thors: By Wednesday 30 November= 2022<o:p></o:p></li><li style=3D"color:black;margin-top:0cm;margin-= bottom:0cm;mso-list:l0 level1 lfo2;vertical-align:baseline"> Submission of revised manuscripts</span= >: By Tuesday 28 February 2022<o:p></o= :p></li><li style=3D"color:black;margin-top:0cm;margin-bottom:0cm;ms= o-list:l0 level1 lfo2;vertical-align:baseline"> Results of reviews of revised manuscrip= ts sent to authors: By Tuesday = 2 May 2023<o:p></o:p></li><li style=3D"color:black;margin-top:0cm;ma= rgin-bottom:6.0pt;mso-list:l0 level1 lfo2;vertical-align:baseline"> Publication of accepted papers online</= span>: By Wednesday 31 May 2023<o:p></= o:p></li></ul> <o:p> </o:p> Kind regards,<o:p></o:p= > David Meredith Department of Architecture, Design, and Media Technology, Aalborg Universit= y, Denmark<o:p></o:p> Anja Volk Department of Information and Computing Sciences, Utrecht University, The N= etherlands<o:p></o:p> Tom Collins Department of Music, University of York, United Kingdom<o:p></o:p></= p> <o:p> </o:p> </div> </body> </html> -- Open-access journal Transactions of ISMIR, open for submissions: <a href=3D= "https://tismir.ismir.net">https://tismir.ismir.net</a> --- ISMIR 2021 will take place online, November 8-12, 2021 ISMIR 2022 will take place in Bangalore, India ISMIR Home -- <a href=3D"http://www.ismir.net/">http://www.ismir.net/</a><b= r /> --- Please note! This list is lightly moderated, any email sent from a non-memb= er address will be queued until it can be reviewed by a human. Be sure to j= oin before posting! --- You received this message because you are subscribed to the Google Groups &= quot;Community Announcements" group. To unsubscribe from this group and stop receiving emails from it, send an e= mail to <a href=3D"mailto:community+unsubscribe@xxxxxxxx">community+unsubs= cribe@xxxxxxxx</a>. To view this discussion on the web visit <a href=3D"https://groups.google.c= om/a/ismir.net/d/msgid/community/964E23EA-5EB3-4B3F-8D11-0E64809313BB%40cre= ate.aau.dk?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.co= m/a/ismir.net/d/msgid/community/964E23EA-5EB3-4B3F-8D11-0E64809313BB%40crea= te.aau.dk</a>. --_000_964E23EA5EB34B3F8D110E64809313BBcreateaaudk_--

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