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Interpolation of loudspeaker level balloons from polar measurements by using deep learning

Complete radiation balloons are needed to analyze the performance of loudspeakers and to perform accurate tunning and electroacoustic predictions of loudspeaker systems. A method is proposed to obtain full radiation balloons from horizontal and vertical polar measurements by using U-Net, a deep learning architecture widely applied for image processing. Mean absolute errors lower than 4 dB were obtained on test data.

 

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Permalink: https://aes2.org/publications/elibrary-page/?id=22548


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