J. Mourjopoulos and D. Tsoukalas, “Neural Network Mapping to Subjective Spectra of Music Sounds,” J. Audio Eng. Soc., vol. 40, no. 4, pp. 253–259, Apr. 1992.
Mourjopoulos J, Tsoukalas D. Neural Network Mapping to Subjective Spectra of Music Sounds. J Audio Eng Soc. 1992;40(4):253-259. Available from: https://aes.org/publications/elibrary-page/?id=7052
@article{Mourjopoulos1992_7052,
author = {Mourjopoulos, John and Tsoukalas, Dennis},
title = {{Neural Network Mapping to Subjective Spectra of Music Sounds}},
journal = {Journal of the Audio Engineering Society},
volume = {40},
number = {4},
pages = {253--259},
year = {1992},
month = apr,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=7052}
}
TY - JOUR
TI - Neural Network Mapping to Subjective Spectra of Music Sounds
AU - Mourjopoulos, John
AU - Tsoukalas, Dennis
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 40
IS - 4
SP - 253
EP - 259
PY - 1992
DA - 1992/04/06
UR - https://aes.org/publications/elibrary-page/?id=7052
PB - Audio Engineering Society
LA - en
AB - 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.
ER -