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Monday, July 8 • 15:50 - 16:10
Intelligent Prediction Software for Room Acoustics and Psychoacoustics using Neural Network

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Comfort and wellbeing of an individual in a room depends largely on sound pressure level within the room and psychoacoustics. The importance of accurate prediction of acoustics parameters is vital during the initial room's design stage. Many researchers provide a detailed study on the interaction between the acoustics and psychoacoustics parameters. This paper develops a prediction model using different Neural Networks (NNs) such as Autoencoder, Support Vector Regression, Extreme Learning Machines, Deep Neural Network and others to predict the sound pressure level (SPL), Loudness and Sharpness. The results shown that the Deep Neural Network can predict the root mean square error of less than 2 dBA in SPL, 2 sone in Loudness and 3 acum in Sharpness.

Monday July 8, 2019 15:50 - 16:10 EDT
St-Laurent 4