Recruiting UK Home PhD in Engineering at KCL to be supervised by Profs Elaine Chew, Phil Chowienczyk, Pier Lambiase. Apply by 15 Feb 2023
Research
CosmoNote in JAES Special Issue on Expanding Frontiers of Web Audio
CosmoNote design decisions and use of web audio technologies to enable large-scale collection of annotations
Perceiver-centered Approach to Representing/Annotating Performed Music in Special Issue: Selected Papers from International Symposium on Performance Science
How do performers make listeners hear prominence and segmentation? Read about our citizen science paradigm for capturing such prosodic info
Gonzalo Romero-García and Daniel Bedoya participate at TENOR 2022
Gonzalo Romero-García and Daniel Bedoya attend TENOR 2022 conference in Marseille, France, May 9-11 to present COSMOS research results
Public launch : CosmoNote musical annotation interface
Announcing launch of CosmoNote, featuring Glenn Gould’s 1955 performance of Goldberg Variations: Aria and the first seven variations
Paul Lascabettes among STMS doctoral students presenting end-of-Year-1 research
ENS CDSN doctoral fellow Paul Lascabettes is among the STMS doctoral students presenting research at end of first year at the « Journée des doctorantes et des doctorants »
Daniel Bedoya presents at Intl Symposium on Performance Science: CosmoNote and Annotation Conventions
Daniel Bedoya shows CosmoNote and its use to create a vocabulary and representations for music prosody at the Intl Symp on Performance Science
Scientific American OpEd: How Music Can Literally Heal the Heart
Sci Am OpEd asserting that music’s structural attributes and physiological effects make it an ideal tool for learning cardiology; studying heart-brain interactions; and dispensing neuro-cardiac therapy
Putting (One’s) Heart Into Music – European Heart Journal (CardioPulse)
European Heart Journal CardioPulse article Putting (One’s) Heart Into Music now in print
Handbook of AI for Music: Chapter 9: On Making Music from Heartbeats
On Making Music from Heartbeats is Chapter 9 in Eduardo Miranda’s definitive book on AI and music computing: Handbook of AI for Music, now out on Springer Nature Switzerland AG (print copy due in August)