We discuss the development of a linked data service exposing metadata about audio effect implementations. The data is collected automatically from Web sources as well as by extracting information from effect plugin binaries, and by manual data entry and correction using a Web service. Automatically generated RDF data is represented using vocabulary terms defined by the Audio Effects Ontology. A SPARQL endpoint allows for the integration of this data resource in novel audio production software and services for the classification, comparison, and recommendation of effects, taking advantage of semantic descriptors.

Authors: Wilmering, Thomas; Fazekas, György; Allik, Alo; Sandler, Mark B.
Affiliation: Queen Mary University of London, London, UK
AES Convention: 139 (October 2015) Paper Number: 9456
Publication Date: October 23, 2015
Subject: Applications in Audio

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.