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Sttera: Software for Audio Recognition and Orchestration as Medium for Music Ritual

Abstract

Contemporary tools support new ways to mediate ritual practices such that they are collaborative, inclusive and shared via digital devices. This research presents an interaction framework that can be used for the development of music rituals mediated by digital devices, and a proof-of-concept software entitled Sttera. It starts from the relationship that performers have with space, the embodied activity of making music and the concept of musicking. For the development of the proof-of-concept, cloud computing technologies are used to establish communication between participants as well as machine learning (ML) for audio detection and orchestration. The aim of this research was to design a platform and interaction model that could mediate and enhance the establishment of musical rituals without affecting the participants’ sense of presence in the performative space.

Keywords

music ritual, audio recognition and learning, orchestration, software-based mediation

How to Cite

Arandas, L. H. & Penha, R., (2022) “Sttera: Software for Audio Recognition and Orchestration as Medium for Music Ritual”, Journal of Creative Music Systems 6(1). doi: https://doi.org/10.5920/jcms.847

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Funding

Name
EU Operational Program Competitiveness and Internationalisation Fund (ERDF component) and Portuguese Foundation for Science and Technology
Funding ID
POCI-01-0145-FEDER-031380
Name
Portuguese Foundation for Science and Technology (FCT)
Funding ID
2020.07619.BD
1008

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Authors

Luís Henrique Arandas (University of Porto, Faculty of Engineering)
Rui Penha orcid logo (School of Music and Performing Arts)

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Licence

Creative Commons Attribution 4.0

Competing Interests

There are no competing interests that we know about. All work presented here belongs to a Portuguese research grant and was done by the authors specifically.

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Peer Review

This article has been peer reviewed.

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