TY - GEN
T1 - Sound collection systems using a crowdsourcing approach to construct sound map based on subjective evaluation
AU - Hara, Sunao
AU - Kobayashi, Shota
AU - Abe, Masanobu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/22
Y1 - 2016/9/22
N2 - This paper presents a sound collection system that uses crowdsourcing to gather information for visualizing area characteristics. First, we developed a sound collection system to simultaneously collect physical sounds, their statistics, and subjective evaluations. We then conducted a sound collection experiment using the developed system on 14 participants. We collected 693,582 samples of equivalent A-weighted loudness levels and their locations, and 5,935 samples of sounds and their locations. The data also include subjective evaluations by the participants. In addition, we analyzed the changes in sound properties of some areas before and after the opening of a large-scale shopping mall in a city. Next, we implemented visualizations on the server system to attract users' interests. Finally, we published the system, which can receive sounds from any Android smartphone user. The sound data were continuously collected and achieved a specified result.
AB - This paper presents a sound collection system that uses crowdsourcing to gather information for visualizing area characteristics. First, we developed a sound collection system to simultaneously collect physical sounds, their statistics, and subjective evaluations. We then conducted a sound collection experiment using the developed system on 14 participants. We collected 693,582 samples of equivalent A-weighted loudness levels and their locations, and 5,935 samples of sounds and their locations. The data also include subjective evaluations by the participants. In addition, we analyzed the changes in sound properties of some areas before and after the opening of a large-scale shopping mall in a city. Next, we implemented visualizations on the server system to attract users' interests. Finally, we published the system, which can receive sounds from any Android smartphone user. The sound data were continuously collected and achieved a specified result.
KW - Crowdedness
KW - Crowdsourcing
KW - Environmental sound
KW - Loudness
KW - Smart City
UR - http://www.scopus.com/inward/record.url?scp=84992147561&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992147561&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2016.7574694
DO - 10.1109/ICMEW.2016.7574694
M3 - Conference contribution
AN - SCOPUS:84992147561
T3 - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
BT - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
Y2 - 11 July 2016 through 15 July 2016
ER -
