Cardiac Response to Live Music Performance presentation for EHRA 2020 live on EHRA Essentials 4 You portal of the European Heart Rhythm Association, branch of the European Society of Cardiology.
Papers
Music Information Research @ Computing in Cardiology 2019 Singapore
Three papers presented at Computing in Cardiology 2019 in Singapore. Applying music information research to cardiovascular science. Arrhythmia Suite featured at conference banquet.
Music & Science: Notating Music and Heart Rhythms
A paper linking music rhythms to performed timings and arrhythmia is now published online (open access)—url: journals.sagepub.com/doi/full/10.1177/2059204318795159—in the Music & Science journal edited by Professor Ian Cross. This article documents many of the ideas underlying the ERC ADG COSMOS: Computational Shaping and Modeling of Musical Structures. Chew, E. (2018). Notating disfluencies and temporal deviations in music and arrhythmia. Music & Science, […]
MazurkaBL: Loudness and beat data for 2000 Chopin Mazurkas @ TENOR 2018
Kosta, Katerina, Oscar F. Bandtlow, Elaine Chew (2018). MazurkaBL: Score-aligned loudness, beat, and expressive markings data for 2000 Chopin Mazurka recordings. In Proceedings of the 4th International Conference on Technologies for Music Notation and Representation (TENOR’18), 24-26 May 2018, Montreal, Canada. Large-scale analysis of expressive performance—with focus on how a performer responds to score markings—has […]
Revealing the Thinking Behind Performance in New Thoughts on Piano Performance
Chew, E. (2017). From Sound to Structure: Synchronising Prosodic and Structural Information to Reveal the Thinking Behind Performance Decisions. In C. MacKie (ed.): New Thoughts on Piano Performance—Researching at the Interface between Science and the Art of Piano Performance. Kindle Amazon. ISBN 978-164007055-4. Abstract: How a performer hears a piece is the determining factor in […]
Automatic Interpretation of Music Structure Analysis @ ISMIR 2017
Smith, J. B. L., and E. Chew. 2017. Automatic interpretation of music structure analyses: A validated technique for post-hoc estimation of the rationale for an annotation. Proceedings of the International Society for Music Information Retrieval Conference. Suzhou, China. 435–41. Annotations of musical structure usually provide a low level of detail: they include boundary locations and […]
The Spiral Array Tension Model @ TENOR 2016
Herremans D., Chew E. (2016). Tension ribbons: Quantifying and visualising tonal tension. In Proceedings of the Second International Conference on Technologies for Music Notation and Representation (TENOR), 27-29 May 2016, Cambridge, UK. Tension is a complex multidimensional concept that is not easily quantified. This research proposes three methods for quantifying aspects of tonal tension based on […]
Music Perception BKN Special Issue: Tipping Points
Chew, E. (2016). Playing with the edge: Tipping points and the role of tonality. In Stephen McAdams, David Temperley, Alexander Rozin (eds.): Milestones in Music Cognition Special Issue, Music Perception, 33(3):344-366. doi: 10.1525/MP.2016.33.03.344 This article focuses on the phenomenon of tipping points—a case of extreme pulse elasticity—in music performance, and the dynamic interplay between tonal […]
Music Theory Online: Listening as a Creative Act
Smith, J. B. L., I. Schankler and E. Chew (2014). Listening as a Creative Act: Meaningful Differences in Structural Annotations of Improvised Performances. Music Theory Online 20.3. [ Journal source ] Abstract Some important theories of music cognition, such as Lerdahl and Jackendoff’s (1983) A Generative Theory of Tonal Music, posit an archetypal listener with an ideal interpretation […]
ACM Multimedia: Explaining Structure Annotations Using Nonlinear Optimization
Smith, J.B.L. and E. Chew (2013). Using Quadratic Programming to Estimate Musical Attention from Self-Similarity Matrices. In Proceedings of ACM Multimedia, October 21-25, Barcelona, Catalunya, Spain. To identify repeated patterns and contrasting sections in music, it is common to use self-similarity matrices (SSMs) to visualize and estimate structure. We introduce a novel application for SSMs derived […]