Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus

Rizzi L, Bertolasi N, Ghelfi G. Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus. In: AES Convention 144. Audio Engineering Society; 2018. Paper 440. Available from: https://aes.org/publications/elibrary-page/?id=19553

@inproceedings{Rizzi2018_19553,
  author = {Rizzi, Lorenzo and Bertolasi, Nadir and Ghelfi, Gabriele},
  title = {{Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus}},
  booktitle = {AES Convention 144},
  note = {Paper 440},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19553}
}

TY  - CPAPER
TI  - Sound Masking on iOS Devices. Masking Everyday Noises and Tinnitus
AU  - Rizzi, Lorenzo
AU  - Bertolasi, Nadir
AU  - Ghelfi, Gabriele
T2  - AES Convention 144
M1  - Paper 440
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19553
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -