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2018, Nihon Shinri Gakkai Taikai happyo ronbunshu
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Reports of the City Planning Institute of Japan, 2015
This study examines the potential role of local festivals in enhancing communication among residents in a local community. The study focuses on two traditional local festivals, Ennichi and Jizobon, in Nagata Ward, Kobe City. We conduct a questionnaire survey to understand how these festivals form new interactions in the community, and how people enjoy communication and develop relationship based on them. The results indicate that Ennichi and Jizobon have mainly connected residents of almost homogeneous characteristics who had not had chances to meet without the festivals and have often formed strong ties among them that are expected to work during disasters. Based on the finding that organizers of the festivals have played a role of hubs of the network, the study further considers how to achieve sustainable development of the festivals and the social network in the local community.
The Annuals of Japanese Political Science Association
2020
The purpose of this study is to provide an overview of how multi-vocal visual ethnography is applied in the world and to examine its possibilities and problems as a research methodology. Twenty-three academic articles using multi-vocal visual ethnography were collected and analyzed. The analysis results revealed the following: (1) multi-vocal visual ethnography is used as a tool for understanding not only the “visible,” but also the “invisible.” (2) The technique is used not only in comparative cultural research, but also as a tool for capturing different perspectives within a single culture. (3) Photographs and websites are used as cues, in addition to videos. (4) Cues consist of a variety of content. Unlike conventional ethnography, multi-vocal visual ethnography is a research methodology that has the potential to promote dialogues between researchers and people in and outside the field
Southeast Asia: History and Culture, 2000
Soviet Communal Living, 2011
Nihon Bunka Jinrui Gakkai Kenkyu Taikai happyo yoshishu, 2018
2011
Discriminating between singing and speaking voices by using the local and global characteristics of voice signals is discussed. From the results of subjective experiments, we show that human beings can discriminate singing and speaking voices with more than 70.0% and 99.7% accuracy from 200 ms and one second long signals, respectively. From the subjective experiment results, assuming that different features are effective for short-term and long-term signals, we designed two measures using a spectral envelope (MFCC) and the fundamental frequency (F0, perceived as pitch) contour. Experimental results show that the F0 measure performs better than the spectral envelope measure when the input voice signals are longer than one second. Particularly, it can discriminate singing and speaking voices with 85.0% accuracy with two-second signals. On the other hand, when the input signals are shorter than one second, the spectral envelope measure performs better than the F0 measure. Finally, by s...
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