[AUDITORY] Special Collection in Music & Science on "Explaining music with AI" published (David Meredith )

Subject: [AUDITORY] Special Collection in Music & Science on "Explaining music with AI" published From: David Meredith <dave@xxxxxxxx> Date: Sun, 15 Jun 2025 20:08:10 +0200 > This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. --B_3832862891_3542486633 Content-type: text/plain; charset="UTF-8" Content-transfer-encoding: quoted-printable Dear list members, =20 We are delighted to announce the publication of a special collection in the= journal, Music & Science, on the topic of =E2=80=98Explaining music with AI: Adva= ncing the scientific understanding of music through computation=E2=80=99. The coll= ection has been guest edited by David Meredith, Anja Volk and Tom Collins. =20 The special collection has been published open access and is available onli= ne at https://journals.sagepub.com/topic/collections-mns/mns-1-explaining_music_w= ith_ai/mns =20 The collection includes an editorial overview and seven articles as follows= : =20 Perception of Chord Sequences Modeled with Prediction by Partial Matching, = Voice-Leading Distance, and Spectral Pitch-Class Similarity: A New Approach = for Testing Individual Differences in Harmony Perception, by Matthew Eitel, = Nicolas Ruth, Peter Harrison, Klaus Frieler, and Daniel M=C3=BCllensiefen. https://doi.org/10.1177/20592043241257654 =20 The Interconnections of Music Structure, Harmony, Melody, Rhythm, and Predi= ctivity, by Shuqi Dai, Huan Zhang, and Roger B. Dannenberg.=20 https://doi.org/10.1177/20592043241234758 =20 End-to-End Bayesian Segmentation and Similarity Assessment of Performed Mus= ic Tempo and Dynamics without Score Information, by Corentin Guichaoua, Paul= Lascabettes and Elaine Chew.=20 https://doi.org/10.1177/20592043241233411 =20 Revealing Footprints of Ancient Sources in Recent Eurasian and American Fol= k Music Cultures Using PCA of the Culture-Dependent Moment Vectors of Shared= Melody Types, by Zolt=C3=A1n Juh=C3=A1sz.=20 https://doi.org/10.1177/20592043241228982 =20 Melodic Differences Between Styles: Modeling Music With Step Inertia, by Ma= tt Chiu and David Temperley.=20 https://doi.org/10.1177/20592043231225731 =20 Mel2Word: A Text-Based Melody Representation for Symbolic Music Analysis, b= y Saebyul Park, Eunjin Choi, Jeounghoon Kim and Juhan Nam.=20 https://doi.org/10.1177/20592043231216254 =20 Understanding Feature Importance in Musical Works: Unpacking Predictive Con= tributions to Cluster Analyses, by Cameron J. Anderson and Michael Schutz. https://doi.org/10.1177/20592043231216257 =20 We hope that collection will provide a useful resource for researchers inte= rested in using computational methods to advance our understanding of music. =20 Kind regards, David Meredith =20 --B_3832862891_3542486633 Content-type: text/html; charset="UTF-8" Content-transfer-encoding: quoted-printable <html xmlns:o=3D"urn:schemas-microsoft-com:office:office" xmlns:w=3D"urn:schema= s-microsoft-com:office:word" xmlns:m=3D"http://schemas.microsoft.com/office/20= 04/12/omml" xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta http-equiv=3DC= ontent-Type content=3D"text/html; charset=3Dutf-8"><meta name=3DGenerator content=3D= "Microsoft Word 15 (filtered medium)"><style></style></head><body lang=3DEN-GB link=3D"#467886" vlink=3D"#96607D" style=3D'wo= rd-wrap:break-word'><div class=3DWordSection1>Dear list members,<o:p></o:p><o:p> </o:p>= We are delighted to announ= ce the publication of a special collection in the journal, Music & Scien= ce, on the topic of =E2=80=98Explaining music with AI: Advancing the scientific un= derstanding of music through computation=E2=80=99. The collection has been guest e= dited by David Meredith, Anja Volk and Tom Collins.<o:p></o:p><o:p> </o:p><= p class=3DMsoNormal>The special collection has = been published open access and is available online at<o:p></o:p><= p class=3DMsoNormal><a href=3D"https://journals.s= agepub.com/topic/collections-mns/mns-1-explaining_music_with_ai/mns">https:/= /journals.sagepub.com/topic/collections-mns/mns-1-explaining_music_with_ai/m= ns</a><o:p></o:p><o:p> </o:p>The collection includes an editorial overview and seven articles as foll= ows:<o:p></o:p>= <o:p> </o:p>Perception of Chord Sequences Modeled with Prediction by Parti= al Matching, Voice-Leading Distance, and Spectral Pitch-Class Similarity: A = New Approach for Testing Individual Differences in Harmony Perception= , by Matthew Eitel, Nicolas Ruth, Peter Harrison, Klaus Frieler, and <= span style=3D'font-size:11.0pt;color:black'>Daniel M=C3=BCllensiefen.<o:p></o:p><a href=3D"https://doi.org/10.1177/20= 592043241257654" title=3D"https://doi.org/10.1177/20592043241257654">https://doi.org/10.1177/2059204324125765= 4</a><o:p></o:p></s= pan> <o:p></o:p></sp= an>The Int= erconnections of Music Structure, Harmony, Melody, Rhythm, and Predictivity<= /span>, by Shuqi Dai, Huan Zhang, and </sp= an>Roger B. Dannenberg<spa= n lang=3DEN-US style=3D'font-size:11.0pt;color:black'>. <o:p></o:p><a href=3D"https://doi.org/10.1177/20592043241234758">= https://doi.org/10.1177/20592043241234758</a><o:p></o:p> <o:p></o:p>End-to-End Bayesian Segmentation and Similarity As= sessment of Performed Music Tempo and Dynamics without Score Information</sp= an>, by Corentin Guichaoua, Paul Lascabettes and= Elaine Chew.<s= pan class=3Dapple-converted-space> <o:p></o:p><a href=3D"https://doi.org/10.1= 177/20592043241233411">https://doi.org/10.1177/20592043241233411</a><= span style=3D'font-size:11.0pt;color:black'><o:p></o:p> <s= pan style=3D'font-size:11.0pt;color:black'><o:p></o:p>Revealing Footprints of Anc= ient Sources in Recent Eurasian and American Folk Music Cultures Using PCA o= f the Culture-Dependent Moment Vectors of Shared Melody Types, by Zolt=C3= =A1n Juh=C3=A1sz.<spa= n class=3Dapple-converted-space> <o:p></o:p><a href=3D"https://doi.org/10.117= 7/20592043241228982">https://doi.org/10.1177/20592043241228982</a><sp= an style=3D'font-size:11.0pt;color:black'><o:p></o:p> <o:p></o:p>= Melodic Differ= ences Between Styles: Modeling Music With Step Inertia, by Matt Chiu an= d David Temperley. <o:p></o:p><a href=3D"https://doi.org= /10.1177/20592043231225731">https://doi.org/10.1177/20592043231225731</a></s= pan><o:p></o:p> </sp= an><o:p></o:p>Mel2Word: A Text-Based= Melody Representation for Symbolic Music Analysis, by&nb= sp;Saebyul Park, Eu= njin Choi, Jeounghoon Kim and Juhan Nam. <o:p></o:p>= <a= href=3D"https://doi.org/10.1177/20592043231216254">https://doi.org/10.1177/20= 592043231216254</a><o:p></= o:p> <o:p></o= :p>= Understanding Feature Importance in Musical Works: Unpacking Predictive Cont= ributions to Cluster Analyses, by <spa= n style=3D'font-size:11.0pt;color:black'>Cameron J. Anderson and Michael Schut= z.<o:p></o:p></= span><a href=3D"ht= tps://doi.org/10.1177/20592043231216257">https://doi.org/10.1177/20592043231= 216257</a><o:p></o:p><= span lang=3DEN-US><o:p> </o:p>We hope that collection will provide a useful resource for researchers i= nterested in using computational methods to advance our understanding of mus= ic.<o:p></o:p><o:p> </o:= p>Kind regards,<o:p></o:p></s= pan>David Meredith<o:p></o:p>= <o:p> </o:p></spa= n></div></body></html> --B_3832862891_3542486633--

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Electrical Engineering Dept., Columbia University