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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.
Author (s): Mourjopoulos, John; Tsoukalas, Dionysis
Affiliation:
Universityof Patras, Patras,Greece
(See document for exact affiliation information.)
AES Convention: 90
Paper Number:3064
Publication Date:
1991-02-06
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Session subject:
Psychoacoustics
Permalink: https://aes2.org/publications/elibrary-page/?id=5629
(690KB)
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Mourjopoulos, John; Tsoukalas, Dionysis; 1991; Neural Network Mapping to Subjective Spectra of Music Sounds [PDF]; Universityof Patras, Patras,Greece; Paper 3064; Available from: https://aes2.org/publications/elibrary-page/?id=5629
Mourjopoulos, John; Tsoukalas, Dionysis; Neural Network Mapping to Subjective Spectra of Music Sounds [PDF]; Universityof Patras, Patras,Greece; Paper 3064; 1991 Available: https://aes2.org/publications/elibrary-page/?id=5629