MCP

Publications

Peer-reviewed papers

Jemily Rime. Interviewing ChatGPT-generated personas to inform design decisions. To appear in Proceedings of the International Conference on Computer-Human Interaction Research and Applications, 2024.
Chenyu Gao, Federico Reuben, and Tom Collins. Variation Transformer: New datasets, models, and comparative evaluation for symbolic music variation generation. Proceedings of the International Society for Music Information Retrieval Conference, 2024.
Corey Ford, Ashley Noel-Hirst, Sara Cardinale, Jackson Loth, Pedro Sarmento, Elizabeth Wilson, Lewis Wolstanholme, Kyle Worrall, and Nick Bryan-Kinns. Reflection across AI-based music composition. In Proceedings of the Conference on Creativity & Cognition, pp. 398-412, 2024.
Kyle Worrall, Zongyu Yin, and Tom Collins. Comparative evaluation in the wild: Systems for the expressive rendering of music. IEEE Transactions on Artificial Intelligence, 2024.
Adrián Barahona-Ríos and Tom Collins. NoiseBandNet: Controllable time-varying neural synthesis of sound effects using filterbanks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 2024.
Kyle Worrall and Tom Collins. Considerations and concerns of professional game composers regarding artificially intelligent music technology. In IEEE Transactions on Games, 2023.

Jemily Rime, Alan Archer-Boyd, and Tom Collins. How will you pod? Implications of creators' perspectives for designing innovative podcasting tools. ACM Transactions on Multimedia Computing, Communications, and Applications, 3(69):1-25, 2023.
Chenyu Gao and Tom Collins. The pendular graph: Visualising hierarchical repetitive structure in point-set representations of the POP909 music dataset. In Proceedings of the Human-Computer Interaction International Conference, pp. 3-16, Copenhagen, Denmark, 2023.
Ali Nikrang, Maarten Grachten, Martin Gasser, Harald Frostel, Gerhard Widmer, and Tom Collins. Music visualisation and its short-term effect on appraisal skills. In Proceedings of the Human-Computer Interaction International Conference, pp. 112-130, Copenhagen, Denmark, 2023.
Zongyu Yin, Federico Reuben, Susan Stepney, and Tom Collins. Deep learning's shallow gains: A comparative evaluation of algorithms for automatic music generation. In Machine Learning, 112(3), 2023.
Catherine Flick and Kyle Worrall. The ethics of creative AI. In Craig Vear and Fabrizio Poltronieri (Eds), The Language of Creative AI, pp. 73-91, Cham, 2022. Springer
Zongyu Yin, Federico Reuben, Susan Stepney, and Tom Collins. Measuring when a music generation algorithm copies too much: The originality report, cardinality score, and symbolic fingerprinting by geometric hashing. In Springer Nature Computer Science, 3(article no. 340), 2022.
Jemily Rime, Chris Pike, and Tom Collins. What is a podcast? Considering innovations in podcasting through the six-tensions framework. Convergence, 28(5):1260–1282, 2022.
Jemily Rime, Jon Francombe, and Tom Collins. How do you pod? A study revealing the archetypal podcast production workflow. In Proceedings of the ACM International Conference on Interactive Media Experiences, pp. 11-18, Aveiro, Portugal, 2022.
Adrián Barahona-Ríos and Tom Collins. SpecSinGAN: Sound effect variation synthesis using single-image GANs. In Proceedings of the Sound and Music Computing Conference, Saint-Étienne, France, 2022.
Mary Emmett, Zongyu Yin, and Tom Collins. An archive-exploration system for the Hunting Songs of the Lakeland Fell Packs. In Proceedings of the ACM International Conference on Digital Libraries for Musicology, pp. 1-8, 2021.
Zongyu Yin, Federico Reuben, Susan Stepney, and Tom Collins. “A good algorithm does not steal – it imitates”: The originality report as a means of measuring when a music generation algorithm copies too much. In Proceedings of EvoStar, pp. 360-375, 2021.
Tom Collins and Christian Coulon. MAIA Util: An NPM package for bridging web audio with music-theoretic concepts. In Proceedings of the Web Audio Conference, pp. 47-52, Trondheim, 2019.
Berit Janssen, Tom Collins, and Iris Ren. Algorithmic ability to predict the musical future: Datasets and evaluation. In Proceedings of the International Society for Music Information Retrieval Conference, pp. 208-215, Delft, 2019. International Society for Music Information Retrieval.
Andreas Katsiavalos, Bret Battey, and Tom Collins. An initial computational model for musical schemata theory. In Proceedings of the International Society for Music Information Retrieval Conference, pp. 166-172, Delft, 2019. International Society for Music Information Retrieval.
Richard Sutcliffe, Eduard Hovy, Tom Collins, Stephen Wan, Tim Crawford, and Deane L. Root. Searching for musical features using natural language queries: The C@merata evaluations at MediaEval. Language Resources and Evaluation, 53(1):87-140, 2019.
Orchisama Das, Blair Kaneshiro, and Tom Collins. Analyzing and classifying guitarists from rock guitar solo tablature. In Proceedings of the International Sound and Music Computing Conference, 7 pages, Limassol, 2018.
Peter Harrison, Tom Collins, and Daniel Müllensiefen. Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation. Nature Scientific Reports, 7(3618), 2017.
Katrien Foubert, Tom Collins, and Jos de Backer. Impaired maintenance of interpersonal synchronization in musical improvisations of patients with borderline personality disorder. Frontiers in Psychology, 8(537), 2017.
Tom Collins and Robin Laney. Computer-generated stylistic compositions with long-term repetitive and phrasal structure. Journal of Creative Music Systems, 1(2), 2017.
Richard Sutcliffe, Tom Collins, Eduard Hovy, Richard Lewis, Chris Fox, and Dean L Root. The C@ merata task at MediaEval 2016: natural language queries derived from exam papers, articles and other sources against classical music scores in MusicXML. In Proceedings of the MediaEval 2016 Workshop, Amsterdam, 2016.
Tom Collins and Christian Coulon. Using empirical analysis of music corpora to optimize Web Audio playback. In Proceedings of the Web Audio Conference, 4 pages, Atlanta, GA, 2016. Supporting material
Tom Collins, Andreas Arzt, Harald Frostel, and Gerhard Widmer. Using geometric symbolic fingerprinting to discover distinctive patterns in polyphonic music corpora. In David Meredith (Ed), Computational Music Analysis, pp. 445-474, Berlin, 2016. Springer
Tom Collins, Robin Laney, Alistair Willis, and Paul H. Garthwaite. Developing and evaluating computational models of musical style. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 30(1):16-43, 2016. Supporting material
Andreas Katsiavalos and Tom Collins. DMUN at the MediaEval 2015 C@merata task: a description of the Stravinsqi algorithm. In Proceedings of the MediaEval 2015 Workshop, Wurzen, 2015.
Tom Collins, Barbara Tillmann, Frederick S. Barrett, Charles Delbé, and Petr Janata. A combined model of sensory and cognitive representations underlying tonal expectation: from audio signals to behavior. Psychological Review, 121(1):33-65, 2014. Supporting material
Tom Collins. Stravinsqi/De Montfort University at the MediaEval 2014 C@merata task. In Proceedings of the MediaEval 2014 Workshop, Barcelona, 2014.
Tom Collins, Sebastian Böck, Florian Krebs, and Gerhard Widmer. Bridging the audio-symbolic gap: the discovery of repeated note content directly from polyphonic music audio. In Proceedings of the Audio Engineering Society's 53rd Conference on Semantic Audio, 12 pages, London, 2014. Supporting material
Tom Collins, Andreas Arzt, Sebastian Flossmann, and Gerhard Widmer. SIARCT-CFP: improving precision and the discovery of inexact musical patterns in point-set representations. In Alceu S. Britto Jr, Fabien Gouyon, and Simon Dixon (Eds), Proceedings of the International Society for Music Information Retrieval Conference, pp. 549-554, Curitiba, 2013. International Society for Music Information Retrieval. Supporting material
Tom Collins and David Meredith. Maximal translational equivalence classes of musical patterns in point-set representations. In Jason Yust, Jon Wild, and Ashley Burgoyne (Eds), Proceedings of Mathematics and Computation in Music, Lecture Notes in Computer Science 7937, pp. 88-99, Montreal, Canada, 2013. Springer
Tom Collins and Christian Coulon. FreshJam: suggesting continuations of melodic fragments in a specific style. In Proceedings of the International Workshop on Musical Metacreation, pp. 73-75, Palo Alto, CA, 2012. AAAI Press.
Tom Collins, Robin Laney, Alistair Willis, and Paul H. Garthwaite. Modeling pattern importance in Chopin's mazurkas. Music Perception, 28(4):387-414, 2011. Supporting material
Tom Collins, Jeremy Thurlow, Robin Laney, Alistair Willis, and Paul H. Garthwaite. A comparative evaluation of algorithms for discovering translational patterns in Baroque keyboard works. In J. Stephen Downie and Remco Veltkamp (Eds), Proceedings of the International Society for Music Information Retrieval Conference, pp. 3-8, Utrecht, 2010. International Society for Music Information Retrieval. Supporting material
Tom Collins, Robin Laney, Alistair Willis, and Paul H. Garthwaite. Using discovered, polyphonic patterns to filter computer-generated music. In Dan Ventura, Alison Pease, Rafael Perez y Perez, Graeme Ritchie, and Tony Veale (Eds), Proceedings of the International Conference on Computational Creativity, pp. 1-10, Lisbon, 2010. University of Coimbra.
Tom Collins. Constructing maskanda. SAMUS: South African Music Studies 26/7:1-26, 2006/7. (Formerly South African Journal of Musicology.) Supporting material

PhD theses

Adrián Barahona-Ríos. Deep Learning for the Synthesis of Sound Effects. Department of Computer Science, University of York, 2024. Supporting material
Zongyu Yin. New evaluation methods for automatic music generation. Department of Computer Science, University of York, 2022. Supporting material
Tom Collins. Improved methods for pattern discovery in music, with applications in automated stylistic composition. Faculty of Mathematics, Computing and Technology, The Open University, 2011. Supporting material

Invited papers & extended abstracts

Jemily Rime and Tom Collins. Resonance Choir: The Renaissance madrigal meets spatial audio. In Proceedings of the International Web Audio Conference, Cannes, France, 2022.
Peter Harrison, Tom Collins, and Daniel Müllensiefen. Assessing melodic discrimination abilities with computerised adaptive testing and automatic item generation. ICAR News, 2:5-8, 2016.
Tom Collins, Peter Knees, and Christian Coulon. MIR Web interface for shaping musical creativity. In Late-Breaking News and Demos of the International Society for Music Information Retrieval Conference, New York, NY, 2016. International Society for Music Information Retrieval.
Tom Collins and Christian Coulon. Music artificial intelligence use cases as motivation for music encoding design. In Proceedings of the Music Encoding Conference, Montreal, 2016.
Ali Nikrang, Tom Collins, and Gerhard Widmer. PatternViewer: an application for exploring repetitive and tonal structure. In Late-Breaking News and Demos of the International Society for Music Information Retrieval Conference, Taipei, 2014. International Society for Music Information Retrieval.
Tom Collins, Daniel A. Abrams, Rohan Chandra, Christina Young, Andreas Arzt, and Menon, Vinod. Neural tracking of musical motives revealed by a combination of fMRI and music information retrieval techniques. In Moo Kyoung Song (Ed), Proceedings of the International Conference on Music Perception and Cognition, page 55, Seoul, 2014. Asia-Pacific Society for the Cognitive Sciences of Music.
Eric J. Humphrey, Douglas Turnbull, and Tom Collins. A brief review of creative MIR. In Late-Breaking News and Demos of the International Society for Music Information Retrieval Conference, Curitiba, 2013. International Society for Music Information Retrieval.
Tom Collins, Barbara Tillmann, Charles Delbé, Frederick S. Barrett, and Petr Janata. Modeling response times in tonal priming experiments. In Emilios Cambouropoulos, Costas Tsougras, Panayotis Mavromatis, and Konstantinos Pastiadis (Eds), Proceedings of the International Conference on Music Perception and Cognition, pages 227-228, Thessaloniki, 2012. European Society for the Cognitive Sciences of Music.
Tom Collins, Robin Laney, Alistair Willis, and Paul H. Garthwaite. Chopin, mazurkas and Markov. Significance, 8(4):154-159, 2011. Supporting material

Music

‘VTGO (Vertigo)’; music Kemi Sulola, Harriet Raynor, Adrián Barahona-Ríos, Kyle Worrall, Chenyu Gao, Mark Hanslip, and Tom Collins with NoiseBandNet, CFE+P, DDSP, and RAVE.
‘Nobody new’; music G-Zone, Jemily Rime, Jack McNeill, Mark Hanslip, and Tom Collins with SampleRNN; lyrics char-rnn; video Mark Hanslip.
‘Circus’; music Jemily Rime, Liam Maloney, Mark Hanslip, Zongyu Yin, and Tom Collins with MAIA Markov and WaveGAN; lyrics theselyricsdonotexist.com; video Lynette Quek.
‘Hoppy holidays’; music Tom Collins with MAIA Markov; lyrics GPT-3 algorithm from OpenAI (setting for SATB, 2020). Recording by the Lay Clerks of St Mary’s Cathedral, Edinburgh.
‘Hope rose high’; music Nancy Carlisle and Tom Collins with MAIA Markov; lyrics theselyricsdonotexist.com.
‘Beloved let us love one another’ by Nancy Carlisle and Tom Collins (setting for SATB and organ, 2014).
D'un astre d'amour que se lève (9 French Romantic poems set for voice and piano, 2005). Audio samples of ‘A la promenade’, ‘Les coquillages’, and ‘L’amour par terre’ (Hanna Husáhr - soprano, Tom Collins - piano).
Septet in G major (flute, cor anglais, French horn, violin, viola, cello & double bass, 2004). Audio (ensemble from the Britten Sinfonia)
Sweet chance (setting of William Henry Davies' 'A great time' for SATB, 2003).

MCP

Publications

Peer-reviewed papers

PhD theses

Invited papers & extended abstracts

Music

Contact and credits

Credits

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