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The research started studying the mobile devices abilities and limits to perform an environmental noise analysis using the internal microphone recording. Perceptual masking algorithms have been implemented to specifically modify natural sounds for the analyzed noise. Then sound pleasantness algorithms have been applied to obtain better masking sounds. This set-up is being extended to the masking of tinnitus: the tinnitus frequency selection is being proposed to the user through sine-sweep listening.
Author (s): Rizzi, Lorenzo; Bertolasi, Nadir; Ghelfi, Gabriele
Affiliation:
Suono e Vita - Acoustic Engineering, Lecco, Italy
(See document for exact affiliation information.)
AES Convention: 144
Paper Number:440
Publication Date:
2018-05-06
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Session subject:
e-Brief Posters—2
Permalink: https://aes2.org/publications/elibrary-page/?id=19553
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Rizzi, Lorenzo; Bertolasi, Nadir; Ghelfi, Gabriele; 2018; Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus [PDF]; Suono e Vita - Acoustic Engineering, Lecco, Italy; Paper 440; Available from: https://aes2.org/publications/elibrary-page/?id=19553
Rizzi, Lorenzo; Bertolasi, Nadir; Ghelfi, Gabriele; Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus [PDF]; Suono e Vita - Acoustic Engineering, Lecco, Italy; Paper 440; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19553