Subject: [AUDITORY] Release of the Multitrack Contrapuntal Music Archive and Call for Contributions From: Anna Aljanaki <aljanaki@xxxxxxxx> Date: Thu, 3 Dec 2020 16:08:56 +0200--000000000000442e2d05b58fe77f Content-Type: text/plain; charset="UTF-8" ***Apologies for cross-posting*** We are glad to announce the release of the Multitrack Contrapuntal Music Archive (MCMA). It is a small, yet high-quality and homogeneous dataset which was carefully compiled and edited specifically for the generation of counterpoint using neural machine translation [1-2]. MCMA is a symbolic dataset of pieces specifically collated and edited to comprise, for any given polyphonic work, independent parts. At this moment MCMA comprises 475 files, with the majority (239) being in three tracks, 153 in two tracks, and 83 in four or more tracks. All of the pieces currently in MCMA are from Baroque composers. The license type is CC BY 4.0. We would like to open the dataset to contributions, in the hope that MCMA can continue to grow beyond our efforts. Detailed guidelines for contributors are available at: https://mcma.readthedocs.io/en/latest/docs/guidelines.html The repository is available here: https://gitlab.com/skalo/mcma and the documentation here: https://mcma.readthedocs.io/en/latest/ There is also another, forthcoming publication [3] in the pipeline regarding MCMA, which is expected to be published early 2021. We hope that MCMA will be useful for some of your endeavours and we would be delighted to receive merge requests, and to integrate new collections to this corpus. Sincerely, Stefano, Eric, Gianluca, and Anna ____________________________________________________________________________ [1] Stefano Kalonaris, Thomas McLachlan and Anna Aljanaki (2020) Computational Linguistics Metrics for the Evaluation of Two-Part Counterpoint Generated with Neural Machine Translation. In Proceedings of the First Workshop on NLP for Music and Audio, Montreal, Canada. International Society for Music Information Retrieval Conference (ISMIR) [2] Eric P. Nichols, Stefano Kalonaris, Gianluca Micchi, and Anna Aljanaki (2021) Modeling Baroque Two-PartCounterpoint with Neural Machine Translation. In Proceedings of the International Computer Music Conference, Santiago, Chile, 2021. International Computer --000000000000442e2d05b58fe77f Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div dir=3D"ltr"><p dir=3D"ltr" style=3D"line-height:1.38;= text-align:justify;margin-top:0pt;margin-bottom:0pt" id=3D"gmail-m_-5949651= 013064867035gmail-docs-internal-guid-fceb1737-7fff-a849-6d2c-cd3e270e5cbd">= <span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background= -color:transparent;font-weight:400;font-style:normal;font-variant:normal;te= xt-decoration:none;vertical-align:baseline;white-space:pre-wrap">***Apologi= es for cross-posting***=C2=A0</span></p><br><p dir=3D"ltr" style=3D"line-he= ight:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style= =3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:tran= sparent;font-weight:400;font-style:normal;font-variant:normal;text-decorati= on:none;vertical-align:baseline;white-space:pre-wrap">We are glad to announ= ce the release of the </span><span style=3D"font-size:11pt;font-family:Aria= l;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:= normal;font-variant:normal;text-decoration:none;vertical-align:baseline;whi= te-space:pre-wrap">Multitrack Contrapuntal Music Archive</span><span style= =3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:tran= sparent;font-weight:400;font-style:normal;font-variant:normal;text-decorati= on:none;vertical-align:baseline;white-space:pre-wrap"> (MCMA).</span></p><p= dir=3D"ltr" style=3D"line-height:1.38;text-align:justify;margin-top:0pt;ma= rgin-bottom:0pt"><span style=3D"font-size:11pt;font-family:Arial;color:rgb(= 0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-= variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre= -wrap">It is a small, yet high-quality and homogeneous dataset which was ca= refully compiled and edited specifically for the generation of counterpoint= using neural machine translation [1-2]. MCMA is a symbolic dataset of piec= es specifically collated and edited to comprise, for any given polyphonic w= ork, independent parts. At this moment MCMA comprises 475 files, with the m= ajority (239) being in three tracks, 153 in two tracks, and 83 in four or m= ore tracks. All of the pieces currently in MCMA are from Baroque composers.= The license type is CC BY 4.0.</span></p><br><p dir=3D"ltr" style=3D"line-= height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span styl= e=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:tra= nsparent;font-weight:400;font-style:normal;font-variant:normal;text-decorat= ion:none;vertical-align:baseline;white-space:pre-wrap">We would like to ope= n the dataset to contributions, in the hope that MCMA can continue to grow = beyond our efforts. Detailed guidelines for contributors are available at:<= /span></p><p dir=3D"ltr" style=3D"line-height:1.38;text-align:justify;margi= n-top:0pt;margin-bottom:0pt"><a href=3D"https://mcma.readthedocs.io/en/late= st/docs/guidelines.html" style=3D"text-decoration:none" target=3D"_blank"><= span style=3D"font-size:11pt;font-family:Arial;color:rgb(17,85,204);backgro= und-color:transparent;font-weight:400;font-style:normal;font-variant:normal= ;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">ht= tps://mcma.readthedocs.io/en/latest/docs/guidelines.html</span></a></p><br>= <p dir=3D"ltr" style=3D"line-height:1.38;text-align:justify;margin-top:0pt;= margin-bottom:0pt"><span style=3D"font-size:11pt;font-family:Arial;color:rg= b(0,0,0);background-color:transparent;font-weight:400;font-style:normal;fon= t-variant:normal;text-decoration:none;vertical-align:baseline;white-space:p= re-wrap">The repository is available here:</span></p><p dir=3D"ltr" style= =3D"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><= a href=3D"https://gitlab.com/skalo/mcma" style=3D"text-decoration:none" tar= get=3D"_blank"><span style=3D"font-size:11pt;font-family:Arial;color:rgb(17= ,85,204);background-color:transparent;font-weight:400;font-style:normal;fon= t-variant:normal;text-decoration:underline;vertical-align:baseline;white-sp= ace:pre-wrap">https://gitlab.com/skalo/mcma</span></a></p><p dir=3D"ltr" st= yle=3D"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt= "><span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);backgrou= nd-color:transparent;font-weight:400;font-style:normal;font-variant:normal;= text-decoration:none;vertical-align:baseline;white-space:pre-wrap">and the = documentation here:</span></p><p dir=3D"ltr" style=3D"line-height:1.38;text= -align:justify;margin-top:0pt;margin-bottom:0pt"><a href=3D"https://mcma.re= adthedocs.io/en/latest/" style=3D"text-decoration:none" target=3D"_blank"><= span style=3D"font-size:11pt;font-family:Arial;color:rgb(17,85,204);backgro= und-color:transparent;font-weight:400;font-style:normal;font-variant:normal= ;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">ht= tps://mcma.readthedocs.io/en/latest/</span></a></p><br><p dir=3D"ltr" style= =3D"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><= span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-= color:transparent;font-weight:400;font-style:normal;font-variant:normal;tex= t-decoration:none;vertical-align:baseline;white-space:pre-wrap">There is al= so another, forthcoming publication [3] in the pipeline regarding MCMA, whi= ch is expected to be published early 2021.</span></p><br><p dir=3D"ltr" sty= le=3D"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"= ><span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);backgroun= d-color:transparent;font-weight:400;font-style:normal;font-variant:normal;t= ext-decoration:none;vertical-align:baseline;white-space:pre-wrap">We hope t= hat MCMA will be useful for some of your endeavours and we would be delight= ed to receive merge requests, and to integrate new collections to this corp= us.</span></p><br><p dir=3D"ltr" style=3D"line-height:1.38;text-align:justi= fy;margin-top:0pt;margin-bottom:0pt"><span style=3D"font-size:11pt;font-fam= ily:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;fon= t-style:normal;font-variant:normal;text-decoration:none;vertical-align:base= line;white-space:pre-wrap">Sincerely,</span></p><br><p dir=3D"ltr" style=3D= "line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><spa= n style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-col= or:transparent;font-weight:400;font-style:normal;font-variant:normal;text-d= ecoration:none;vertical-align:baseline;white-space:pre-wrap">Stefano, Eric,= Gianluca, and Anna</span></p><br><p dir=3D"ltr" style=3D"line-height:1.38;= text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style=3D"font-si= ze:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;fon= t-weight:400;font-style:normal;font-variant:normal;text-decoration:none;ver= tical-align:baseline;white-space:pre-wrap">________________________________= ____________________________________________</span></p><br><p dir=3D"ltr" s= tyle=3D"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0p= t"><span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);backgro= und-color:transparent;font-weight:400;font-style:normal;font-variant:normal= ;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">[1] Ste= fano Kalonaris, Thomas McLachlan and Anna Aljanaki (2020) Computational Lin= guistics Metrics for the Evaluation of Two-Part Counterpoint Generated with= Neural Machine Translation.=C2=A0 In </span><span style=3D"font-size:11pt;= font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight= :400;font-style:italic;font-variant:normal;text-decoration:none;vertical-al= ign:baseline;white-space:pre-wrap">Proceedings of the First Workshop on NLP= for Music and Audio</span><span style=3D"font-size:11pt;font-family:Arial;= color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:no= rmal;font-variant:normal;text-decoration:none;vertical-align:baseline;white= -space:pre-wrap">,=C2=A0 Montreal,=C2=A0 Canada. International=C2=A0 Societ= y=C2=A0 for=C2=A0 Music=C2=A0 Information Retrieval Conference (ISMIR)</spa= n></p><br><span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);= background-color:transparent;font-weight:400;font-style:normal;font-variant= :normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">= [2] Eric P. Nichols, Stefano Kalonaris, Gianluca Micchi, and Anna Aljanaki = (2021) Modeling Baroque Two-PartCounterpoint with Neural Machine Translatio= n. In </span><span style=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,= 0);background-color:transparent;font-weight:400;font-style:italic;font-vari= ant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wra= p">Proceedings of the International Computer Music Conference</span><span s= tyle=3D"font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:= transparent;font-weight:400;font-style:normal;font-variant:normal;text-deco= ration:none;vertical-align:baseline;white-space:pre-wrap">, Santiago, Chile= , 2021.=C2=A0 International Computer </span></div></div> --000000000000442e2d05b58fe77f--