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Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual tracks of Multi-track Musical Recording

Wakefield, Jonathan P. and Dewey, Christopher (2015) Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual tracks of Multi-track Musical Recording. In: 138th International AES Convention, 7th - 10th May 2015, Warsaw, Poland. (Unpublished)

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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

Item Type: Conference or Workshop Item (Poster)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering > Music Technology and Production Research Group
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Depositing User: Christopher Dewey
Date Deposited: 06 Oct 2015 08:21
Last Modified: 07 Nov 2015 19:24
URI: http://eprints.hud.ac.uk/id/eprint/25975

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