In music education, an important learning objective is to acquire a sense of rhythm and melody, e.g., by tapping or singing along to a musical performance. In this context, music games are becoming increasingly popular due to their accessibility and interactivity. However, existing games are often tailored to a specific musical repertoire. In this paper, we will explore the potential of music information retrieval (MIR) algorithms for generating dynamic game worlds that are reactive to musical input in real-time, e.g., to music from a stereo system or a live performance. Such games may be used to explore musical performances in an interactive and playful way. As a case study, we therefore developed a jump-andrun game prototype that challenges players to tap along the beat of the music in their environment. Its music-reactive game world relies on past and predicted beat positions estimated by a real-time beat tracking algorithm.
%0 Journal Article
%1 https://doi.org/10.18420/muc2022-mci-ws03-225
%A Meier, Peter
%A Schwär, Simon
%A Rosenzweig, Sebastian
%A Müller, Meinard
%D 2022
%I Gesellschaft für Informatik e.V.
%K PMei
%R 10.18420/MUC2022-MCI-WS03-225
%T Real-Time MIR Algorithms for Music-Reactive Game World Generation
%U http://dl.gi.de/handle/20.500.12116/39062
%X In music education, an important learning objective is to acquire a sense of rhythm and melody, e.g., by tapping or singing along to a musical performance. In this context, music games are becoming increasingly popular due to their accessibility and interactivity. However, existing games are often tailored to a specific musical repertoire. In this paper, we will explore the potential of music information retrieval (MIR) algorithms for generating dynamic game worlds that are reactive to musical input in real-time, e.g., to music from a stereo system or a live performance. Such games may be used to explore musical performances in an interactive and playful way. As a case study, we therefore developed a jump-andrun game prototype that challenges players to tap along the beat of the music in their environment. Its music-reactive game world relies on past and predicted beat positions estimated by a real-time beat tracking algorithm.
@article{https://doi.org/10.18420/muc2022-mci-ws03-225,
abstract = {In music education, an important learning objective is to acquire a sense of rhythm and melody, e.g., by tapping or singing along to a musical performance. In this context, music games are becoming increasingly popular due to their accessibility and interactivity. However, existing games are often tailored to a specific musical repertoire. In this paper, we will explore the potential of music information retrieval (MIR) algorithms for generating dynamic game worlds that are reactive to musical input in real-time, e.g., to music from a stereo system or a live performance. Such games may be used to explore musical performances in an interactive and playful way. As a case study, we therefore developed a jump-andrun game prototype that challenges players to tap along the beat of the music in their environment. Its music-reactive game world relies on past and predicted beat positions estimated by a real-time beat tracking algorithm.},
added-at = {2022-11-07T12:21:04.000+0100},
author = {Meier, Peter and Schwär, Simon and Rosenzweig, Sebastian and Müller, Meinard},
biburl = {https://www.bibsonomy.org/bibtex/2417a4047c561b283809a191723e4f174/baywiss1},
doi = {10.18420/MUC2022-MCI-WS03-225},
interhash = {8a62060c70dee5c1a4a6b4b6073ee383},
intrahash = {417a4047c561b283809a191723e4f174},
keywords = {PMei},
language = {en},
publisher = {Gesellschaft für Informatik e.V.},
timestamp = {2022-11-08T11:03:55.000+0100},
title = {Real-Time MIR Algorithms for Music-Reactive Game World Generation},
url = {http://dl.gi.de/handle/20.500.12116/39062},
year = 2022
}