Active learning of custom sound taxonomies in unstructured audio data

Authors:
Gerard Roma;Jordi Janer;Perfecto Herrera
Affiliations:
Universitat Pompeu Fabra, Barcelona, Spain;Universitat Pompeu Fabra, Barcelona, Spain;Universitat Pompeu Fabra, Barcelona, Spain
Venue:
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Year:
2012

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Abstract

In this paper we describe a system for content-based retrieval of audio clips from a large unstructured database. The system allows users to devise their own sound taxonomies for organizing sounds. An active learning algorithm for Support Vector Machines (SVM) is used for reducing the effort of annotating sounds in the database.