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Prediction of the acoustical performance of concert halls through objective sound field variables using artificial intelligence algorithms | TUBITAK 1001

Prediction of the acoustical performance of concert halls through objective sound field variables using artificial intelligence algorithms | TUBITAK 1001

Keywords: Artificial intelligence, convolutional neural network, concert hall acoustics, objective sound field parameters, Mel–spectrogram, room impulse response

Principal investigator: Akın Oktav

Researchers: Murat Alper Başaran

Scholars: Gizem Küçük, Faruk Özenç

This research was supported by The Scientific and Technological Research Council of Turkey (TUBITAK 1001 Grant 123M884)

Schedule: 10.11.2023/10.05.2026