Titlebook: Applied Computer Sciences in Engineering; 4th Workshop on Engi Juan Carlos Figueroa-García,Eduyn Ramiro López-San Conference proceedings 20

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Sun Hua-li,Wang Xun-qing,Xue Yao-fengity reduction techniques that in fact make the problem hard for unsupervised methods. On the other hand, a supervised model based on deep neural network is capable of learning the task from human operator data reformulated as a classification problem.

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Quasi-static Simulation Examples,roposes to use a neural network to optimize the sampling of soundscapes of three Colombian ecosystems. The neural network is trained to identify meaningful temporal windows for audio recording from previously gathered data. This method simplifies the acoustic complexity analysis.