Experiments using a Neural Network for audio processing and coding are described. A multilayer Neural Network was trained to map audio signals to subjective auditory spectra and derive the signal's noise masking threshold. Such mapping can be achieved subsequently for input audio data and with small error margin. Tests are also described assessing the success of such a network for recognition of characteristic features of specific musical sounds.

Authors: Mourjopoulos, John; Tsoukalas, Dionysis
Affiliation: Universityof Patras, Patras,Greece
AES Convention: 90 (February 1991) Paper Number: 3064
Publication Date: February 1, 1991 Import into BibTeX
Subject: Psychoacoustics
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=5629

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