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J. Wakefield, and C. Dewey, "Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual Tracks of Multitrack Musical Recordings," Paper 9343, (2015 May.). doi: J. Wakefield, and C. Dewey, "Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual Tracks of Multitrack Musical Recordings," Paper 9343, (2015 May.). doi:
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.

@article{wakefield2015evaluation,
author={wakefield, jonathan and dewey, christopher},
journal={journal of the audio engineering society},
title={evaluation of an algorithm for the automatic detection of salient frequencies in individual tracks of multitrack musical recordings},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},} @article{wakefield2015evaluation,
author={wakefield, jonathan and dewey, christopher},
journal={journal of the audio engineering society},
title={evaluation of an algorithm for the automatic detection of salient frequencies in individual tracks of multitrack musical recordings},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
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.},}

TY - paper
TI - Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual Tracks of Multitrack Musical Recordings
SP - EP -
AU - Wakefield, Jonathan
AU - Dewey, Christopher
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - Evaluation of an Algorithm for the Automatic Detection of Salient Frequencies in Individual Tracks of Multitrack Musical Recordings
SP - EP -
AU - Wakefield, Jonathan
AU - Dewey, Christopher
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - 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.