On Time-frequency Scattering and Computer Music
Vincent Lostanlen

TL;DR
This paper explores the application of time-frequency scattering, a mathematical sound transformation mimicking human auditory processing, in enhancing contemporary music creation and its potential in AI-driven sound analysis.
Contribution
It demonstrates the novel use of time-frequency scattering in the context of contemporary music composition and production.
Findings
Effective in music creation processes
Improves AI analysis of musical sounds
Potential for new musical expression tools
Abstract
Time-frequency scattering is a mathematical transformation of sound waves. Its core purpose is to mimick the way the human auditory system extracts information from its environment. In the context of improving the artificial intelligence of sounds, it has found succesful applications in automatic speech transcription as well as the recognition of urban sounds and musical sounds. In this article, we show that time-frequency scattering can also be useful for applications in contemporary music creations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpeech and Audio Processing · Neural Networks and Applications · Music and Audio Processing
