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Dynamical complexity measurement with random projection: a metric optimised for realtime signal processing

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Version 2 2023-07-04, 14:11
Version 1 2023-06-10, 06:53
conference contribution
posted on 2023-07-04, 14:11 authored by Chris KieferChris Kiefer
There are many metrics available for observing the dynamical complexity of a signal, with multiple applications incomputer music. Previous work demonstrated that the Effort To Compress metric could be used to modulate the behaviour of a feedback instrument, however the algorithm is challenging to run in realtime. This research explores the many metrics available, and evaluates a selection of them in their suitability for realtime signal processing in musical instruments. A new metric is proposed and evaluated: Random Projection Complexity (RPC). The results show that RPC has comparable performance to other complexity metrics, and is suited to realtime applications. The results also demonstrate viability of further complexity metrics for interactive computer music systems.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Sound and Music Computing 2023

Page range

89-95

Event name

Sound and Music Computing

Event location

Stockholm, Sweden

Event type

conference

Event date

12-17 June 2023

Department affiliated with

  • Music Publications

Research groups affiliated with

  • Sussex Humanities Lab Publications

Full text available

  • Yes

Peer reviewed?

  • No

Legacy Posted Date

2023-04-25

First Compliant Deposit (FCD) Date

2023-04-25

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