Professor Nick Collins nick.collins@durham.ac.uk
Professor
A Javascript Musical Machine Listening Library
Collins, Nick; Knotts, Shelly
Authors
Shelly Knotts
Abstract
More advanced interactive web browser based computer music applications are supported through a new javascript library for musical machine listening, MMLL. The library includes such facilities as beat tracking, pitch tracking, onset detection, major/minor chord detection, IFFT resynthesis and a tracking phase vocoder implementation. The code’s efficiency, technical issues, and two example applications built upon the library are discussed.
Citation
Collins, N., & Knotts, S. (2019). A Javascript Musical Machine Listening Library. In Proceedings of the 2019 International Computer Music Conference (383-387)
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | International Computer Music Conference |
Acceptance Date | Mar 16, 2019 |
Online Publication Date | Jun 16, 2019 |
Publication Date | 2019-09 |
Deposit Date | Apr 24, 2019 |
Publicly Available Date | Apr 24, 2019 |
Pages | 383-387 |
Series Title | International Computer Music Conference Proceedings |
Series ISSN | 2223-3881 |
Book Title | Proceedings of the 2019 International Computer Music Conference |
Public URL | https://durham-repository.worktribe.com/output/1142845 |
Publisher URL | https://www.fulcrum.org/concern/monographs/jq085n56r |
Files
Accepted Conference Proceeding
(601 Kb)
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