Berkeley Computational Music Research (BCMR) invites you to our first annual conference, entitled Synthesis: Interdisciplinary Collaboration in Computational Music Research. The conference will take place on Saturday, September 28 from 9am-6pm at UC Berkeley’s Center for New Music and Audio Technology (CNMAT).
Berkeley Computational Music Research (BCMR) invites you to our first annual conference, entitled Synthesis: Interdisciplinary Collaboration in Computational Music Research. The conference will take place on Saturday, September 28 from 9am-6pm at UC Berkeley’s Center for New Music and Audio Technology (CNMAT). Breakfast and lunch will be provided. Space is limited to 40 participants, so advance RSVP is required.
The deluge of computational techniques developed over the last decade has had a transformative impact in all areas of academic and industrial research. The goal of this conference is to explore potential applications for the integration of these techniques into interdisciplinary music research. This year’s theme, synthesis, emphasizes interdisciplinary collaboration, bringing together scholars with interests in music studies and computational methods. It encourages music researchers and computer scientists to initiate dialogue that will provide radical new insights into the most pressing questions across disciplines.
Speakers include:
Claire Arthur, Music Theory and Cognitive Musicology, Georgia Tech
Carmine Cella, Composition, UC Berkeley
Kevin Dahan, Music Technology, De Montfort University
Elena Georgieva, Music Technology, Stanford CCRMA
Jon Gillick, School of Information, UC Berkeley
Melanie Hamaguchi, Project IRENE, UC Berkeley
Justin Salamon, Audio Research Group, Adobe Research
Leslie Tilley, Ethnomusicology, MIT
Berkeley Computational Music Research (BCMR) invites proposals for our first annual conference, entitled Synthesis: Interdisciplinary Collaboration in Computational Music Research. The conference will take place on Saturday, September 28 at UC Berkeley’s Center for New Music and Audio Technology (CNMAT).
The deluge of computational techniques developed over the last decade has had a transformative impact in all areas of academic and industrial research. The goal of this conference is to explore potential applications for the integration of these techniques into interdisciplinary music research. This year’s theme, synthesis, emphasizes interdisciplinary collaboration, bringing together scholars with interests in music studies and computational methods. It encourages music researchers and computer scientists to initiate dialogue that will provide radical new insights into the most pressing questions across disciplines. Projects may explore, for instance, potential applications of computational techniques such as signal processing, data science, or machine learning in the context of ethnographic research and music studies.
Presenters need not discuss conclusive results; rather, they are encouraged to contextualize their work within their respective fields of study, to make their work accessible to a diverse audience, and to suggest potential interdisciplinary collaborations.