Monthly Archive July 14, 2024

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Music and Installation Chair @IEEE IoS 2024

Marlon Schumacher will serve as music and installation co-chair together with Esther Fee Feichtner for the IEEE

5th International Symposium on the Internet of Sounds

held at the International Audio Laboratories Erlangen, from 30 September – 2 October 2024. Follow this link to the official IEEE Website:

“The Internet of Sounds is an emerging research field at the intersection of the Sound and Music Computing and the Internet of Things domains.  […] The aim is to bring together academics and industry to investigate and advance the development of Internet of Sounds technologies by using novel tools and processes. The event will consist of presentations, keynotes, panels, poster presentations, demonstrations, tutorials, music performances, and installations.”

 

The Internet of Sounds Research Network is supported by an impressive number (> 120) of institutions from over 20 countries, with a dedicated IEEE committee for emerging technology initiatives. Partners from Germany include:

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Trajectory Descriptors: Music Genre Classification through the Tonnetz

Abstract

We present an approach to geometrically represent and analyze the harmonic content of musical compositions based on a formalization of chord sequences as spatial trajectories. This allows us in particular to introduce a toolbox of novel descriptors for automatic music genre classification. Our analysis method first of all implies the definition of harmonic trajectories as curves in a type of geometric pitch class spaces called Tonnetz. We define such curves by representing successive chords appearing in chord progressions as points in the Tonnetz and by connecting consecutive points by geodesic segments. Following a recently established hypothesis that assumes the existence of a narrow link between the musical genre of a work and specific geometric properties of its spatial representation, we introduce a toolbox of descriptors relating to various geometric aspects of the harmonic trajectories. We then assess the appropriateness of these descriptors as a classification tool that we test on compositions belonging to different musical genres. In a further step, we define a representation of transitions between two consecutive chords appearing in a harmonic progression by vectors in the Tonnetz. This allows us to introduce an additional classification method based on this vectorial representation of chord transitions.


Video Presentation:


Conference Article:

SMC2024_paper_id178

 

This work has been developed as part of the doctoral studies of Christophe Weis and is published in the Proceedings of the Sound and Music Computing Conference 2024 in Porto, Portugal.