- author = "Aymeric Zils and Francois Pachet",
- title = "Extracting automatically the perceived intensity of music titles",
- booktitle = "6th International Conference on Digital Audio Effects, DAFx-03",
- year = "2003",
- pages = "DAFX47",
- address = "Queen Mary, University of London",
- month = "8-11 " # sep,
- organisation = "COST action in Europe",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.eecs.qmul.ac.uk/legacy/dafx03/",
-
URL = "
http://www.eecs.qmul.ac.uk/legacy/dafx03/proceedings/pdfs/dafx47.pdf",
- size = "4 pages",
-
abstract = "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
energetic 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.",
- notes = "online csl.sony.fr",
