Nicolas Brochec, Tsubasa Tanaka. Toward Real-Time Recognition of Instrumental Playing Techniquesfor Mixed Music: A Preliminary Analysis. International Computer Music Conference (ICMC 2023),Oct 2023, Shenzhen, China. ffhal-04263718f Full publication Download PDF Abstract: In contemporary mixed music, real-time digital sound processing is often applied to live instrumental performances. However, switching between sound effects often relies on manual […]
A Distinguished Lecture from Marc Chemillier, musician, computer scientist and anthropologist based in Paris, France. Distinguished Lecture: October 16, 2023 – 18:00 – 19:00Tanna Schulich Hall, 527 Sherbrooke W. The lecture will take place in TANNA SCHULICH HALL, followed by a wine and cheese reception in the lobby of the Elizabeth Wirth Music Building. This event is free […]
Read original article Artificial intelligence (AI) shows its artistic side in a new algorithm created by researchers from UC San Diego and the Institute for Research and Coordination in Acoustics/Music (IRCAM) in Paris, France. The new algorithm, called the Music Latent Diffusion Model (MusicLDM), helps create music out of “sound poetry,” a practice that uses […]
Marc Chemillier et Yuri Prado, L’hybridité vue à partir du sujet : le cas de Charles Kely Zana-Rotsy et l’ »open gasy », Cahiers d’ethnomusicologie, n° 36, 2023, pp. 125-143 (preprint). Full publication: Full text document will be published online on October 2024. Abstract: Bien que les musiques du monde, en tant qu’elles représentent particulièrement bien les processus d’échanges […]
Devansh Zurale, Shlomo Dubnov, Learning Sub-Dimensional HRTF Representations Towards Individualization Applications-Traditional and Deep Learning Approaches, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Mohonk Mountain House, New Paltz, NY, USA, 2023 Full publication Abstract: Individualized Head Related Transfer Functions (HRTFs) are indispensable in order to accurately reproduce spatial audio over headphones. […]
Basica, C., Verma, P., Alessandrini, P., & Berceanu, A. (2023). Accessible Co-Creativity with AI through Language and Voice Input. The International Conference on AI and Musical Creativity @ The University of Sussex (AIMC), 2023. Full publication Abstract: This project introduces a set of tools for humans to co-create music with AI-based architectures. The aim is […]
