References
Agostini, A., & Ghisi, D. (2012). Bach: An environment for computer-aided composition in Max. In International Computer Music Conference (pp. 373-378). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2012.068
Ajmera, J., McCowan, I. A., & Bourlard, H. (2004). Robust audio segmentation. [Doctoral dissertation, École Polytechnique]. EPFL. https://infoscience.epfl.ch/record/83070
Anderberg, M. R. (1973). The broad view of cluster analysis. Cluster analysis for applications, 1-9. https://doi.org/10.1016/B978-0-12-057650-0.50007-7
Bergström, I., & Blackwell, A. F. (2016, September). The practices of programming. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 190-198). IEEE. https://doi.org/10.1109/VLHCC.2016.7739684
Bergström, I., & Lotto, R. B. (2015). Code Bending: A new creative coding practice. Leonardo, 48(1), 25-31. https://doi.org/10.1162/LEON_a_00934
Bischoff, J. (1991). Software as sculpture: Creating music from the ground up. Leonardo Music Journal, 1(1), 37-40. https://doi.org/10.2307/1513119
Bowers, J., Richards, J., Shaw, T., Frize, J., Freeth, B., Topley, S., ... & Edmondes, W. (2016). One knob to rule them all: Reductionist interfaces for expansionist research. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 433-438). Queensland Conservatorium Griffith University. http://doi.org/10.5281/zenodo.1175996
Bradbury, J. (2017). Biomimicry: Analysis of a corpus-based interactive improvisational system. In In International Computer Music Conference (pp. 174-178). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2017.027
Bradbury, J. (2020). Computer-assisted corpus exploration with UMAP and agglomerative clustering. In Proceedings of the 1st Joint Conference on AI Music Creativity (p. 4). AIMC. http://doi.org/10.5281/zenodo.4285398
Bresson, J., Bouche, D., Carpentier, T., Schwarz, D., & Garcia, J. (2017). Next-generation computer-aided composition environment: A new implementation of OpenMusic. In International Computer Music Conference (pp. 253-258). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2017.042
Briz, N. (n.d.). From The Ground Up In Order, Embrace. Vimeo. Retrieved 10 May, 2021, from https://vimeo.com/4506517
Carter, S., & Nielsen, M. (2017). Using artificial intelligence to augment human intelligence. Distill, 2(12). https://doi.org/10.23915/distill.00009
Cascone, K. (2000). The aesthetics of failure: "Post-digital" tendencies in contemporary computer music. Computer Music Journal, 24(4), 12-18. https://doi.org/10.1162/014892600559489
De Campo, A. (2014). Lose control, gain influence: Concepts for Metacontrol. In International Computer Music Conference (pp. 217-222). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2014.034
Eldridge, A., Casey, M., Moscoso, P., & Peck, M. (2016). A new method for ecoacoustics? Toward the extraction and evaluation of ecologically-meaningful soundscape components using sparse coding methods. PeerJ, 4, https://doi.org/10.7717/peerj.2108
Engelbart, D. C., (1962). Augmenting human intellect: A conceptual framework (SRI Project No. 3578). Stanford Research Institute. https://apps.dtic.mil/dtic/tr/fulltext/u2/289565.pdf
Fitzgerald, D., Cranitch, M., & Coyle, E. (2005, July). Shifted non-negative matrix factorisation for sound source separation. In IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 (pp. 1132-1137). IEEE. https://doi.org/10.1109/SSP.2005.1628765
Foote, J. (2000, July). Automatic audio segmentation using a measure of audio novelty. In 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No. 00TH8532) (pp. 452-455). IEEE. https://doi.org/10.1109/ICME.2000.869637
Garber, L., y Ciencia, M. A., Ciccola, T., & Amusategui, J. C. (2020). AudioStellar, an open source corpus-based musical instrument for latent sound structure discovery and sonic experimentation. https://thegardenofcuriosity.untref.edu.ar/img/10_audiostellar/AudioStellar_for_ICMC2020.pdf
Green, O. (2013). User serviceable parts: Practice, technology, sociality and method in live electronic musicking [Doctoral dissertation, City University London]. City Research Online. https://openaccess.city.ac.uk/id/eprint/2730/
Grill, T., & Flexer, A. (2012, September). Visualization of perceptual qualities in textural sounds. In International Computer Music Conference (pp. 589-596). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2012.110
Grisey, G. (1987). Tempus ex machina: A composer's reflections on musical time. Contemporary music review, 2(1), 239-275. https://doi.org/10.1080/07494468708567060
Harker, A. (2012). Navigating sample-based music: Immediacy and musical control in recent electronic works. In Symposium "Les Espaces sonores – Stimmungen, Klanganalysen, spektrale Musiken". http://eprints.hud.ac.uk/id/eprint/18608/1/AHarker_Navigating_Sample_Based_Music.pdf
Hennequin, R., Khlif, A., Voituret, F., & Moussallam, M. (2020). Spleeter: a fast and efficient music source separation tool with pre-trained models. Journal of Open Source Software, 5(50), 2154. https://doi.org/10.21105/joss.02154
Hohman, F., Conlen, M., Heer, J., & Chau, D. H. P. (2020). Communicating with interactive articles. Distill, 5(9). https://doi.org/10.23915/distill.00028
Kiefer, C. (2014). Musical Instrument Mapping Design with Echo State Networks. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 293-298). Goldsmiths, University of London. http://doi.org/10.5281/zenodo.1178829
Lefèvre, S., & Vincent, N. (2011). A two level strategy for audio segmentation. Digital Signal Processing, 21(2), 270-277. https://hal.archives-ouvertes.fr/hal-00512744
McFee, B., Raffel, C., Liang, D., Ellis, D. P., McVicar, M., Battenberg, E., & Nieto, O. (2015, July). librosa: Audio and music signal analysis in Python. In Proceedings of the 14th Python in Science Conference (Vol. 8, pp. 18-25). https://doi.org/10.25080/Majora-7b98e3ed-003
Michalakos, C. (2012). The augmented drum kit: An intuitive approach to live electronic percussion performance. In International Computer Music Conference (pp. 257-260). International Computer Music Association. http://hdl.handle.net/2027/spo.bbp2372.2012.046
Miranda, E. R. (2009). Preface: Aesthetic decisions in computer-aided composition. Contemporary Music Review, 28(2), 129-132. https://doi.org/10.1080/07494460903327504
Parker, M. & Furniss, P., (2014). gruntCount (bass clarinet Edition): blurring the piece, system, instrument distinction. https://www.research.ed.ac.uk/en/publications/gruntcount-bass-clarinet-edition-blurring-the-piece-system-instru
Roma, G., Green, O., & Tremblay, P. A. (2019, June). Adaptive mapping of sound collections for data-driven musical interfaces. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 313-318). UFRGS. http://doi.org/10.5281/zenodo.3672976
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the inception architecture for computer vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (Vol 1.) (pp. 2818-2826). https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.308
Tanaka, A. (2010). Mapping out instruments, affordances, and mobiles. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 88-93). http://doi.org/10.5281/zenodo.1177903
Tremblay, P. A., Green, O., Roma, G., & Harker, A. (2019, March). From collections to corpora: Exploring sounds through fluid decomposition. In International Computer Music Conference and New York City Electroacoustic Music Festival. https://pure.hud.ac.uk/ws/files/17022941/towardscorpus_final.pdf
Vegeborn, V. H. (2020). LjudMAP: A visualisation tool for exploring audio collections with real-time concatenative synthesis capabilities [Master's thesis, KTH Royal Institute of Technology]. DiVA. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277831
Wang, W. (Ed.). (2010). Machine audition: Principles, algorithms and systems. IGI Global. https://doi.org/10.4018/978-1-61520-919-4
Xu, R., & Wunsch, D. (2008). Cluster Analysis. In R. Xu and D.C. Wunsch (Eds.), Clustering (pp. 1-15). John Wiley & Sons. https://doi.org/10.1002/9780470382776.ch1