Y. Fujimoto, S. Ishimitsu, K. Kawasaki, K. Sakamoto, and T. Yoshimi, “A Study of Evaluating the Button Sounds using Wavelets,” in Proc. AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Aug. 2008, Paper 4. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14438
Fujimoto Y, Ishimitsu S, Kawasaki K, Sakamoto K, Yoshimi T. A Study of Evaluating the Button Sounds using Wavelets. In: AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices. Audio Engineering Society; 2008. Paper 4. Available from: https://aes.org/publications/elibrary-page/?id=14438
@inproceedings{Fujimoto2008_14438,
author = {Fujimoto, Yuichi and Ishimitsu, Shunsuke and Kawasaki, Kenichi and Sakamoto, Koji and Yoshimi, Toshikazu},
title = {{A Study of Evaluating the Button Sounds using Wavelets}},
booktitle = {AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices},
note = {Paper 4},
year = {2008},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14438}
}
TY - CPAPER
TI - A Study of Evaluating the Button Sounds using Wavelets
AU - Fujimoto, Yuichi
AU - Ishimitsu, Shunsuke
AU - Kawasaki, Kenichi
AU - Sakamoto, Koji
AU - Yoshimi, Toshikazu
T2 - AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
M1 - Paper 4
PY - 2008
DA - 2008/08/06
UR - https://aes.org/publications/elibrary-page/?id=14438
PB - Audio Engineering Society
LA - en
AB - A lot of attention has been directed at designing various sounds that are treated as noise, such as automobile acceleration sounds and cleaner sounds. The reason is that the idea of sound being a normal part of product operation has permeated society. We focused on sound design and evaluating it for 11 kinds of button sounds. First, an impression was extracted by the semantic differential (SD) method, and the relevance with a time frequency analysis was investigated. Next, we confirmed whether or not the impression changed when a sound that generated a bad impression was processed using adaptive control into a sound that generated a good impression.
ER -