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Music at the Frontiers of Artificial Creativity and Criticism

Artificial intelligence (Ai) is an especially disruptive technology, impacting a growing number of domains in ways both beneficial and detrimental. It is even showing surprising impacts in the Arts, provoking questions fundamental to philosophy, law, and engineering, not to mention practices in the Arts themselves. MUSAiC is an interdisciplinary research venture confronting questions and challenges at the frontier of the AI disruption of music.

HIGHLIGHTS

2023

Déguernel and Sturm, “Bias in the Evaluation of Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context”
has been accepted for oral presentation and publication at ICCC 2023.

Sturm appears on Swedish National Television to discuss AI and music.

Falk, Sturm and Ahlbäck, “Automatic Legato Transcription Based on Onset Detection”, accepted to Sound and Music Computing 2023.

Chapter appears in M. Clancy’s new book, Artificial Intelligence and Music Ecosystem, Routledge, 2023. The chapter is, Huang, Holzapfel and Sturm, “Global Ethics – From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia”

Article accepted for publication in the Transactions of the International Society for Music Information Retrieval: Huang, Holzapfel, Sturm and Kaila, “Beyond Diverse Datasets: Responsible MIR, Interdisciplinarity, and the Fractured Worlds of Music”. This is an extension of our 2022 ISMIR paper.

Sturm gives a keynote lecture at the course, “Musical Creativity with AI“, April 26-27, in Barcelona.

Results of The Ai Music Generation Challenge 2022 are announced. There were several submissions in three sub-challenges: generating tunes, judging tunes, and titling tunes.

Publication of Sturm and Flexer, “Validity in Music Information Research Experiments”, arXiv:2301.01578, 2023. This article is a “tutorial” about validity of conclusions drawn from experiments, and how it appears in music informatics research.

2022

Presentation of Jonason and Sturm, “Audio Latent Space Cartography“, Late Breaking Demo at ISMIR 2022. Nicolas has created a very interesting way of visualizing latent spaces of audio synthesis models. Plenty of creative applications to come!

The MUSAiC Festival 2022 Nov. 22-24 was a big success, attracting many people to a variety of concerts and talks, as well the concluding workshop teaching the application of machine learning to audio-visual synthesis.

Sturm and Holzapfel organized a round table on Music and AI at the WASP-HS community meeting, Oct 13 2022 and contributed to the final report.

Sturm, “Generative AI helps one express things for which they may not have expressions (yet)”, Proc. Generative AI and HCI, CHI 2022 Workshop.

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Paper, music piece, and workshop all accepted to 2022 AI Music Creativity Conference. Sturm “The Ai Music Generation Challenge 2021: Summary and Results“. Sturm, “The shadow still lay where he had been standing (a growing opera for YouTube)”. The 3rd Machine Folk Music Workshop.

Holzapfel and Sturm, “Interwoven Listening with the Music Listening Machine”, presented at the 2022 joint meeting of the American Musicological Society (AMS), Society for Ethnomusicology (SEM), and Society for Music Theory (SMT).

Song by MUSAiC team Maskinspelmanslaget made it to the final round of the 2022 AI Song Contest. It placed 14 out of 46.

Jonason & Sturm, “Neural Music Instrument Cloning from Few Samples” published at 2022 Digital Audio Effects conference. Video of talk here. See the accompanying webpage of demos.

Results of The Ai Music Generation Challenge 2021 are announced! Former visiting researcher Luca Casini has won with the transformer system he developed at KTH. (See next news item.)

Casini & Sturm “Tradformer: A Transformer Model of Traditional Music” presented at the special track AI, the Arts and Creativity at IJCAI 2022.

MUSAiC PhD Laura Cros Vila will give a talk on “Musical Instrument Recognition using the Scattering Transform” at the Kymatio’22: Deep learning meets wavelet theory workshop, held on May 19-20 at LS2N, École Centrale de Nantes, France.

Sturm presents a talk at the Dagstuhl workshop: Deep Learning and Knowledge Integration for Music Audio Analysis, Feb 20-25. Full proceedings here. The talk was about responsible engineering in music informatics.

Over a year in the making, the “AI and Musical Creativity” special issue of the Transactions of ISMIR is out! Nine fantastic articles contribute technical and philosophical discussions to a fast-developing field. Sturm (MUSAiC PI) is lead guest editor.

The Ai Music Generation Challenge 2022 announced. There are three sub-challenges: generation of plausible Irish reels; artificial judge; and tune titling.

Launch of AHRC-funded research network Datasounds, datasets and datasense: Unboxing the hidden layers between musical data, knowledge and creativity. Sturm (MUSAiC PI) is a part of this network, and will host a meeting of project partners in November 2022. More information.

2021

Journal publication: Ben-Tal, Harris and Sturm, “How Music AI Is Useful: Engagements with Composers, Performers and Audiences“, Leonardo (2021) 54 (5): 510–516.

Journal publication: Sturm, B. & Maruri-Aguilar, H. (2021) “The Ai Music Generation Challenge 2020: Double Jigs in the Style of O’Neill’s 1001””, Journal of Creative Music Systems. 5(1). doi: https://doi.org/10.5920/jcms.950

Sturm’s research featured in E&T article, Can AI be music to our ears? Nov. 11 2021.

Sturm’s composition, “Three Tunes from the AI Frontiers”, performed at ISMIR 2021 and the 2021 NeurIPS workshop Machine Learning for Creativity and Design.

Sturm invited to present his music Ai research at the 2021 Summit on Machine Intelligence co-organized by Central Conservatory of Music in Beijing, China (October 22-24).

Huang, Sturm and Holzapfel, “De-centering the West: East Asian Philosophies and the Ethics of Applying Artificial Intelligence to Music” published at ISMIR 2021, and awarded Best Special Call Paper.

MUSAiC PhD students (Joris, Laura and Nicolas) begin! Two researchers (Luca and Marco) from University of Bologna visit for the Fall.

Sturm delivers invited talks to Traditions in TransitionTranscultural Technologies for Creative Expression“, and STS Italia 2021 “Effect of dataveillance on artistic and cultural production: Exploiting user data to shape user preferences and create new content”. Video for STS Italia.

Sturm invited to deliver keynote to Audio Mostly 2021. The talk highlights the MUSAiC project, its outcomes so far, and what the future holds for traditional music.

The Ai Music Generation Challenge 2021 has begun! Watch this video to get an idea of the kind of music this challenge entails.

Two papers presented at the AI Music Creativity 2021 conference: Huang and Sturm, “Reframing ‘Aura’: Authenticity in the Application of Ai to Irish Traditional Music”; and Sturm, “An Artificial Critic of Irish Double Jigs”. See also: “58,105 Irish-style Double Jigs“.

Smootzieg (2020-2020)

A MUSAiC team entered a song – “Evigt Förlorad (Forever Lost)” – into the 2021 AI Song Contest. Out of 38 entries, our song placed third with the jury, and fifth overall. It was also mentioned in a NY Time article, Robots Can Make Music, but Can They Sing?

2020

The Ai Music Generation Challenge 2020 was a success! Tunes generated by seven Ai systems were evaluated by four Irish traditional music experts, and two winners were picked and performed.

Poetic research blog launched: Tunes from the Ai Frontiers. This is a personal exploration of machine-generated folk music, and how it fits with my practice of Irish traditional music.

The 2020 Joint Conference on AI Music Creativity – the kickoff event of MUSAiC – brought together two overlapping research forums for a week-long virtual conference involving over 200 participants around the world. Here are technical and logistical details about how I ran the conference online. The keynotes and selected papers from this conference were invited for expansion and published in a 2022 special issue of the Journal of Creative Music Systems.

“Music from EDSAC” (circa 1960) by D. G. Champernowne, rediscovered and performed. This is a string quartet composed from material generated by a computer in the UK.



MUSAiC is a project that has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 864189).