Presentation 2013/3/7
O-MUSUBI: Ad-hoc Grouping System Enhanced by Ambient Sound : The Similarity based on Information Theoretical: Features for Sound-Fields
SACHIO TERAMOTO, JUN NODA,
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Abstract(in English) The aim of this paper is to achieve ad-hoc grouping systems enhanced by ambient sounds or sound-fields. As an elemental technology of ad-hoc grouping, systems have to be equipped with a search engine with sufficient accuracy to find out users who are in similar contexts. Systems require another similarity criterion for sound-fields. Because search results from well-known similarities, such as cosine-similarity, cannot exclude false negative and cannot restrict false positives. Moreover, in order to cover a wide-variety of mobile devices including smartphones, we have the problem of the deterioration of search accuracy due to differences in microphone performances. We may also have to decrease the system-wide load. This suggests that original sound-field data should be resized as small as possible without losing valuable features to flexibly recognize different contexts. We thus propose a new similarity criterion on sound-fields for ad-hoc grouping. We also show experimental results to ensure all requirements are fulfilled.
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Paper # Vol.2013-MBL-65 No.16,Vol.2013-UBI-37 No.16
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Committee MoMuC
Conference Date 2013/3/7(1days)
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Registration To Mobile Multimedia Communications(MoMuC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) O-MUSUBI: Ad-hoc Grouping System Enhanced by Ambient Sound : The Similarity based on Information Theoretical: Features for Sound-Fields
Sub Title (in English)
Keyword(1)
1st Author's Name SACHIO TERAMOTO
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2nd Author's Name JUN NODA
2nd Author's Affiliation
Date 2013/3/7
Paper # Vol.2013-MBL-65 No.16,Vol.2013-UBI-37 No.16
Volume (vol) vol.112
Number (no) 493
Page pp.pp.-
#Pages 7
Date of Issue