Die interdisziplinäre Reihe widmet sich künstlerischen und wissenschaftlichen Perspektiven von Musik & Mathematik. Expert*innen aus den Bereichen Mathematik, Statistik, Computerwissenschaften, Komposition und Musikforschung eröffnen Einblicke in aktuelle Fragestellungen und Entwicklungen in den Grenzbereichen zwischen den Wissenschafts- bzw. Kunstsparten.

Eine Veranstaltung des Programmbereichs (Inter)Mediation (Interuniversitäre Einrichtung Wissenschaft & Kunst, Universität Salzburg/Universität Mozarteum Salzburg) in Kooperation mit dem Fachbereich Biowissenschaften der Universität Salzburg und der Paracelsus Medizinischen Privatuniversität Salzburg

Übersichtsplakat alle Vorträge „Musik & Mathematik“ im Sommersemester 2022

Understanding and Employing Repetition in Music 

Utrecht

23.06.2022

Anja Volk
Department of Information and Computing Sciences, Utrecht University (NL)
Donnerstag, 23. Juni 2022, 18:00, Atelier im KunstQuartier, Bergstraße 12a, 5020 Salzburg

Over the past decades, mathematical and computational models of musical structures have been successfully developed in interdisciplinary research areas such as Mathematical Music Theory and Music Information Retrieval, with different goals such as music analysis, retrieval, classification or recommendation.  In this talk, I will discuss how the modelling process on the one hand uncovers layers of implicit musical knowledge applied by experts and ordinary listeners when interacting with music, and on the other hand enables new forms of interaction with music. Taking repetition in music, specifically repeated patterns, as the central topic of this talk, I will show how the modeling process contributes to enhancing our understanding of the role of musical repetition for how we make sense of music. Moreover, I will discuss how we employ this knowledge for facilitating novel forms of musical interactions, such as within serious games for music education, health care and well-being.

Anja Volk is Associate Professor at the Department of Information and Computing Sciences, Utrecht University. She has a dual background in mathematics and musicology which she applies to cross-disciplinary approaches at the intersection of computer science and music. Her research aims at enhancing our understanding of music as a fundamental human trait while applying these insights for developing music technologies that offer new ways of interacting with music, such as in the newly emerging field of music, computing, and health.

In englischer Sprache

Programmkarte 

Salzburg & Online

05.05.2022

Patrik Lechner
Universität für Angewandte Kunst Wien, FH St. Pölten, FH Salzburg
Online & In Präsenz: Atelier im KunstQuartier, Bergstr. 12a, 1. OG 5020 Salzburg
In der Reihe „Musik & Mathematik“ 

Mit dem Projekt "our ghosts in the shell" hat Patrik Lechner gemeinsam mit dem Ensemble NAMES eine Konzertreihe entwickelt, in der eine Künstliche Intelligenz diverse Ebenen des künstlerischen Prozesses (mit-)gestaltet. Der Vortrag präsentiert, wie sich im Rahmen dreier Konzerte die Mensch-Maschinen-Interaktion darstellen kann und wie unterschiedliche Formen musikalischer Kommunikation erprobt werden.

Teilnahme kostenfrei.

Für Teilnahme in Präsenz Anmeldung erforderlich: E: Ingeborg.Schrems@plus.ac.at / T: +43 (0)662 8044 2380

Programmkarte 

Elaine Chew, CNRS, STMS Lab (Ircam), Paris, F

Online 

17.03.2022

In der Reihe „Musik & Mathematik“ 
In englischer Sprache

Music and the heart have been closely intertwined in the romantic imagination. The pulsating heart pumps blood through the body, producing the rhythm of life. We shall explore the ways in which electrical impulses of the heart result in musical behaviors, and how mappings between heartbeats and music can inspire new ways to view music and heart rhythm disorders, mediated by mathematics. Music alters our physiological state. Our recent work focuses on making musicians’ expressive devices visible, mathematically and graphically. We shall see how musicians’ expressive choices lead to largely unconscious but quantifiable autonomic changes for both players and listeners. These changes can be observed in the heart rate, heart rate variability, respiration, and blood pressure or by pacemaker patients’ activation recovery intervals (time between a heartbeat and when the heart can beat again). The illustrations will be accompanied by music and technology demonstrations.

Prof. Elaine Chew, PhD, is a pianist and operations researcher working on the mathematical and computational modelling of musical structures with applications to the modelling of music performance, music-heart-brain interactions, computational arrhythmia research, and AI music generation.

Teilnahme kostenfrei / Keine Anmeldung 

Programmkarte 

Cynthia C. S. LIEM, Delft University of Technology, NL 

Salzburg & Online

31.03.2022

Atelier im KunstQuartier, Bergstr. 12a, 1. OG 5020 Salzburg)
In der Reihe „Musik & Mathematik“ 
In englischer Sprache

One of the major challenges in achieving trustworthy and responsible AI, is validating whether the systems we build actually do what we wish for them to do. In this, the balance needs to be found between that what can be measured, and that what we wish to achieve; here, mathematics, requirements, and human interpretation meet. In this lecture, Cynthia Liem discuss how the music domain has been a fertile ground for thinking about such questions, touching upon music signal representation, music interpretation, as well as music search and recommendation, from her both perspectives as an artist and technologist. Then, she will illustrate how this has helped her in her current projects in the broader space of trustworthy and responsible AI, touching upon inclusive information access, comprehensive testing strategies, and fair decision support systems.

Dr. Cynthia C. S. Liem, MMus, is Ass. Prof. in the Multimedia Computing Group of Delft University of Technology (NL), and pianist of the Magma Duo. Her research interests focus on making people discover new interests and content which would not trivially be retrieved in music and multimedia collections, assessing questions of validation and validity in data science, and fostering trustworthy and responsible AI applications when human-interpreted data is involved.

Teilnahme kostenfrei

Für Teilnahme in Präsenz Anmeldung erforderlich: E: Ingeborg.Schrems@plus.ac.at / T: +43 (0)662 8044 2380

Programmkarte