A novel interface for audio based sound data mining
Résumé
In this paper, the design of a web interface for audio-based sound data mining is studied. The interface allows the user to explore a sound dataset without any written textual hint. Dataset sounds are grouped into semantic classes which are themselves clustered to build a semantic hierarchical struc-ture. Each class is represented by a circle distributed on a two dimensional space according to its semantic level. Sev-eral means of displaying sounds following this template are presented and evaluated with a crowdsourcing experiment.
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