The Importance of Perceptive Adaptation of Sound Features in Audio Content Processing

Pfeiffer, Silvia

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URL:	https://ub-madoc.bib.uni-mannheim.de/784
URN:	urn:nbn:de:bsz:180-madoc-7846
Document Type:	Working paper
Year of publication:	1998
The title of a journal, publication series:	Technical Reports
Volume:	98-018
Place of publication:	Mannheim
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Sonstige - Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
MADOC publication series:	Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject:	004 Computer science, internet
Subject headings (SWD):	Tonsignal , Automatische Inhaltsanalyse , Algorithmus
Abstract:	In analyzing audio material for features useful for extracting content, we must consider the value gained by adapting our analysis algorithms to the analysis processes of the human ear. This aspect with regard to loudness features is thoroughly examined in this paper. The increase in correlation to be gained by such cognitive processing is about 10%.
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