In this contribution we present several techniques to find the most significant frequencies in recorded audio tracks. These estimated frequencies could be used as a starting point for mixing engineers in the EQing process. In order to evaluate the results, we compare the detected frequencies with a list of reported salient frequencies from audio engineers. The results show that automatic detection is possible. Thus, one of the more boring tasks of a mixing engineer can be automated, which gives the mixing engineer more time to do the artistic part of the mixing process.

Authors: Bitzer, Joerg; LeBoeuf, Jay
Affiliations: University of Applied Science Oldenburg, Oldenburg, Germany; Imagine Research, Inc., San Francisco, CA, USA(See document for exact affiliation information.)
AES Convention: 126 (May 2009) Paper Number: 7704
Publication Date: May 1, 2009 Import into BibTeX
Subject: Signal Analysis, Measurements, Restoration
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=14900

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