Evaluation of an algorithm for the automatic detection of salient frequencies in individual tracks of multi-track musical recordings

Christopher Dewey, Jonathan P. Wakefield

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper evaluates the performance of a salient frequency detection algorithm. The algorithm calculates each FFT bin maximum as the maximum value of that bin across an audio region and identifies the FFT bin maximum peaks with the highest five deemed to be the most salient frequencies. To determine the algorithm's efficacy test subjects were asked to identify the salient frequencies in eighteen audio tracks. These results were compared against the algorithm's results. The algorithm was successful with electric guitars but struggled with other instruments and in detecting secondary salient frequencies. In a second experiment subjects equalised the same audio tracks using the detected peaks as fixed centre frequencies. Subjects were more satisfied than expected when using these frequencies.

Original languageEnglish
Title of host publication138th Audio Engineering Society Convention, AES 2015
PublisherAudio Engineering Society
Pages1057-1061
Number of pages5
Volume2
ISBN (Electronic)9781510806597
Publication statusPublished - 2015
Event138th Audio Engineering Society Convention - Sofitiel Victoria Hotel, Warsaw, Poland
Duration: 7 May 201510 May 2015
Conference number: 138
http://www.aes.org/events/138/ (Link to Event Website)

Conference

Conference138th Audio Engineering Society Convention
Abbreviated titleAES 2015
CountryPoland
CityWarsaw
Period7/05/1510/05/15
Internet address

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Dewey, C., & Wakefield, J. P. (2015). Evaluation of an algorithm for the automatic detection of salient frequencies in individual tracks of multi-track musical recordings. In 138th Audio Engineering Society Convention, AES 2015 (Vol. 2, pp. 1057-1061). Audio Engineering Society.