Published June 1, 2020 | Version v1
Conference paper Open

Interfacing Sounds: Hierarchical Audio-Content Morphologies for Creative Re-purposing in earGram 2.0


Audio content-based processing has become a pervasive methodology for techno-fluent musicians. System architectures typically create thumbnail audio descriptions, based on signal processing methods, to visualize, retrieve and transform musical audio efficiently. Towards enhanced usability of these descriptor-based frameworks for the music community, the paper advances a minimal content-based audio description scheme, rooted on primary musical notation attributes at the threefold sound object, meso and macro hierarchies. Multiple perceptually-guided viewpoints from rhythmic, harmonic, timbral and dynamic attributes define a discrete and finite alphabet with minimal formal and subjective assumptions using unsupervised and user-guided methods. The Factor Oracle automaton is then adopted to model and visualize temporal morphology. The generative musical applications enabled by the descriptor-based framework at multiple structural hierarchies are discussed.



Files (18.1 MB)

Name Size Download all
17.2 MB Download
868.6 kB Preview Download
10.8 kB Download

Additional details

Related works

Is part of
2220-4806 (ISSN)