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Journal Article

Neural Network Mapping to Subjective Spectra of Music Sounds

Authors: Mourjopoulos, John; Tsoukalas, Dennis

Journal of the Audio Engineering Society · Volume 40 · Issue 4 · pp. 253–259 · April 1992

Abstract

Neural networks (NN) are a combination of simple computational elements trained to perform specific mapping tasks between input and output data. In this case, input data were segments of audio waveforms (music and speech signals) and the required output was the auditory noise-masking threshold created by these data. Such a threshold determines the relative level of noise and distortion components which will be subjectively masked by the audio signal. It was found that an NN could perform such a task with a small error margin, but lengthy training was necessary with segments of such data.

Details

Publication
Journal of the Audio Engineering Society
Volume
40
Issue
4
Pages
253–259
Publication date
April 6, 1992
Affiliation
Wire Communications Laboratory, Department of Electrical Engineering, University of Patras,, Patras, Greece (See document for exact affiliation information.)
Type
Journal Article