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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.
Author (s): Bitzer, Joerg;
LeBoeuf, Jay;
Affiliation:
University of Applied Science Oldenburg, Oldenburg, Germany; Imagine Research, Inc., San Francisco, CA, USA
(See document for exact affiliation information.)
AES Convention: 126
Paper Number:7704
Publication Date:
2009-05-06
Session subject:
Signal Analysis, Measurements, Restoration
DOI:
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Bitzer, Joerg; LeBoeuf, Jay; 2009; Automatic Detection of Salient Frequencies [PDF]; University of Applied Science Oldenburg, Oldenburg, Germany; Imagine Research, Inc., San Francisco, CA, USA; Paper 7704; Available from: https://aes.org/publications/elibrary-page/?id=14900
Bitzer, Joerg; LeBoeuf, Jay; Automatic Detection of Salient Frequencies [PDF]; University of Applied Science Oldenburg, Oldenburg, Germany; Imagine Research, Inc., San Francisco, CA, USA; Paper 7704; 2009 Available: https://aes.org/publications/elibrary-page/?id=14900
@inproceedings{Bitzer2009automatic,
title={{Automatic Detection of Salient Frequencies}},
author={Bitzer, Joerg and LeBoeuf, Jay},
year={2009},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7704; AES Convention 126; May 2009},
number={7704},
organization={AES},
}
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