Sound masking using genetic algorithm & artificial neural network (SMUGAANN)

Sound masking using genetic algorithm & artificial neural network (SMUGAANN)

One of the significant factor of privacy is the source of sound. It creates the level that determines the effectiveness of the other factor. To experience maximum privacy, cancelling of unwanted sound is necessary. To automate the design of sound masking, this proposal use Genetic Algorithm and Arti...

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Bibliographic Details
Main Authors: Culibrina, Francisco B., Dadios, Elmer P.
Format: text
Published: Animo Repository 2014
Subjects:
Soundproofing
Computational auditory scene analysis
Genetic algorithms
Sound pressure
Neural networks (Computer science)
Manufacturing
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3916
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Institution: De La Salle University
Description
Summary:One of the significant factor of privacy is the source of sound. It creates the level that determines the effectiveness of the other factor. To experience maximum privacy, cancelling of unwanted sound is necessary. To automate the design of sound masking, this proposal use Genetic Algorithm and Artificial Neural Network (SMUGAAN). By evolutionary method two stages are use: a) to determine the target sound being mask evaluation of the parameters of functional elements and b) analysis of the target sound to get the fitness value to be mask and test signals with the help of Sound Synthesis Algorithm (SSA) technique. This stage gives audible sound to mask the target sound. © 2014 IEEE.

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