Organised Sound
publication·academic journal·active
Peer-reviewed journal focused on technology in music and sound art.
Verified facts
| Official site | https://www.cambridge.org/core/journals/organised-sound ↗ |
|---|---|
| Geography | United Kingdom / global; materially active in the United States |
| issn | 1355-7718 |
| eissn | 1469-8153 |
| topics | electroacoustic music; sound art; machine learning; algorithmic composition; music technology |
| cadence | Three issues per year. |
| language | English |
| category fit | Music and sound-art journal with current machine-learning coverage. |
| channel type | academic_journal |
| owner operator | Cambridge University Press |
| current activity | A 2026 special-issue call addresses embedding algorithms and machine-learning models in music and sound art. |
| intended audience | researchers; composers; sound artists; music technologists |
| relationship notes | Published by Cambridge University Press. |
| online offline state | online |
| public audience size | unknown |
| business access model | Subscription journal with open-access publication options. |
| official access route | https://www.cambridge.org/core/journals/organised-sound |
| editorial independence | Peer-reviewed academic journal with publisher and editorial governance. |
| latest activity evidence | date: 2026-03-24 · source url: https://www.cambridge.org/core/journals/organised-sound/announcements/call-for-papers/call-embedding-algorithms-in-music-and-sound-art · description: Special-issue call covers algorithmic and ML-based musical practice. |
| editorial or governance leadership | Leigh Landy — editor |
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