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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.
Author (s): Catala Iborra, Victor Manuel
Affiliation:
DAS Audio Group, Fuente del Jarro, Spain, and Universitat de València, València, Spain
(See document for exact affiliation information.)
AES Convention: 156
Paper Number:202
Publication Date:
2024-06-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=22548
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Catala Iborra, Victor Manuel; 2024; Interpolation of loudspeaker level balloons from polar measurements by using deep learning [PDF]; DAS Audio Group, Fuente del Jarro, Spain, and Universitat de València, València, Spain; Paper 202; Available from: https://aes2.org/publications/elibrary-page/?id=22548
Catala Iborra, Victor Manuel; Interpolation of loudspeaker level balloons from polar measurements by using deep learning [PDF]; DAS Audio Group, Fuente del Jarro, Spain, and Universitat de València, València, Spain; Paper 202; 2024 Available: https://aes2.org/publications/elibrary-page/?id=22548