Zils, A. & Pachet, F. Extracting Automatically the Perceived Intensity of Music Titles. Proceedings of the 6th COST-G6 Conference on Digital Audio Effects (DAFX03), pages 180-183, London, U.K., September 2003 Queen Mary University

Sony CSL authors: Fran├žois Pachet, Aymeric Zils


We address the issue of extracting automatically high-level musical descriptors out of their raw audio signal. This work focuses on the extraction of the perceived intensity of music titles, that evaluates how energic the music is perceived by listeners. We present here first the perceptive tests that we have conducted, in order to evaluate the relevance and the universality of the perceived intensity descriptor. Then we present several methods used to extract relevant features used to build automatic intensity extractors: usual Mpeg7 low level features, empirical method, and features automatically found using our Extractor Discovery System (EDS), and compare the final performances of their extractors.

Keywords: Cuidado, signal processing, audio descriptors, energy, genetic programming machine learning, feature generation


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BibTeX entry

@INPROCEEDINGS { zils:03a, ADDRESS="London, U.K.", AUTHOR="Zils, A. & Pachet, F.", BOOKTITLE="Proceedings of the 6th COST-G6 Conference on Digital Audio Effects (DAFX03)", MONTH="September", ORGANIZATION="Queen Mary University", PAGES="180-183", TITLE="Extracting Automatically the Perceived Intensity of Music Titles", YEAR="2003", }