We present a method for segmenting musical audio into structural sections, and some rules for choosing a representative 'thumbnail' segment. We demonstrate how audio thumbnails are an effective and natural way of returning results in music search applications. We investigate the use of segment-based models for music similarity searching and recommendation. We report experimental results of the performance and efficiency of these approaches in the context of SoundBite, a demonstration music thumbnailing and search engine.
Authors:
Levy, Mark; Sandler, Mark
Affiliation:
Queen Mary, University of London
AES Convention:
120 (May 2006)
Paper Number:
6642
Publication Date:
May 1, 2006
Session Subject:
Analysis and Synthesis of Sound; Mobile Phone Audio; Automobile 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.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
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.