Chris Chafe is a composer, improvisor, and cellist, developing much of his music alongside computer-based research. He is Director of Stanford University’s Center for Computer Research in Music and Acoustics (CCRMA). In 2019, he was International Visiting Research Scholar at the Peter Wall Institute for Advanced Studies The University of British Columbia, Visiting Professor at the Politecnico di Torino, and Edgard-Varèse Guest Professor at the Technical University of Berlin. At IRCAM (Paris) and The Banff Centre (Alberta), he has pursued methods for digital synthesis, music performance and real-time internet collaboration. During the pandemic he’s released an album, “Time Crystal” on Ravello Records, performed over 60 concerts online and been a contributor to a large volunteer effort for improvements to network music performance. At CCRMA he is involved in research into wavefield synthesis for physical models and learning from his co-workers about deep machine learning networks for music prediction and how quantum computing technologies can be introduced into music making. (https://chrischafe.net/)
Unlocking Musical Performances During the Lockdowns: …
Emilia Gómez is Lead Scientist of the HUMAINT project that studies the impact of Artificial Intelligence on human behaviour, carried out at the Joint Research Centre, European Commission. She is also a Guest Professor at the Department of Information and Communication Technologies, Universitat Pompeu Fabra in Barcelona, where she leads the MIR (Music Information Research) lab of the Music Technology Group and coordinates the TROMPA (Towards Richer Online Music Public-domain Archives) H2020 project.
Emilia Gómez’s work has been involved in the Sound and Music Computing Network for many years, contributing in several roles such as author, reviewer and board member. She has also been serving the ISMIR community, being the first woman president of the International Society for Music Information Retrieval. She is particularly interested in improving gender and cultural diversity of our research field. (https://www.emiliagomez.com)
TROMPA: Towards Richer Online Music Public-domain Archives: In this talk, I will present the main approach and outcomes of the TROMPA Horizon 2020 European project, which I have coordinated in the last years with researchers on the use of machine and human intelligence for the enrichment of classical music archives. Classical music, although a historical genre, it is continually (re)interpreted and revitalised through musical performance. TROMPA intends to enrich and democratise publicly available classical music archives through a user-centred co-creation setup. For analysing and linking music data at scale, the project employs and improves state-of-the-art technology. Music-loving citizens then cooperate with the technology, giving feedback on algorithmic results, and annotating the data according to their personal expertise. Following an open innovation philosophy, all knowledge derived is released to the community in reusable ways. This enables many uses in applications which directly benefit crowd contributors and further audiences. TROMPA demonstrates this for music scholars, orchestras, piano players, choir singers, and music enthusiasts.
Scot Gresham-Lancaster is a composer, performer, instrument builder, and educator. He is a Research Scientist with the startup StrangeData LLC and Visiting Researcher at CNMAT UC Berkeley. The focus of his research is in the sonification of data sets in tight relationships with visualizations, (multimodal representations). As a member of the HUB, he is an early pioneer of networked computer music and has developed many “cellphone operas”. He has created a series of co-located international Internet performances and worked developing audio for several games and interactive products. He is an expert in educational technology. (https://scot.greshamlancaster.com/)