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Computational Auditory Scene Analysis for Acoustic Event Detection: An Improved Approach
This paper presents an improved system for acoustic event classification and detection using neural networks. The adaptation of network weights using Particle Swarm Optimization (PSO) was proposed as a mechanism to improve the performance of the traditional Back Propagation algorithm used in Artificial Neural Network (ANN) for classification. This paper focuses on acoustic event classification using Neural Network. The problem concerns the identification of different environmental sounds on thefatcat:v7lvcal77za6bniulnv2anhziy