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Oral communication / Computational linguistics / Speech recognition / Face detection / Face recognition / Speech act / Backchannel / Speech disfluency / Style / Linguistics / Human communication / Language


Processing Image and Audio Information for Recognising Discourse Participation Status through Features of Face and Voice Nick Campbell1 , Damien Douxchamps2 1 NiCT/ATR-SLC
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Document Date: 2015-03-29 10:38:29


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City

Denver / Kyoto / Lisbon / Springļ¬eld / /

Company

Bayer / Speech Based Interactive Systems / Japan 2 Image Processing Laboratory / /

Country

Hong-Kong / /

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Facility

Nara Institute / National Institute / NiCT/ATR-SLC National Institute of Information / /

IndustryTerm

video processing chain / classic block-matching algorithm / automatic processing / image processing / face detection processing sequence / image-processing research / discourse management / image processing module / search zone / above equipment / /

MarketIndex

SET 100 / /

Organization

Nara Institute for Science and Technology / National Institute for Communications and Information Technology / NiCT/ATR-SLC National Institute of Information and Comunications Technology Keihanna Science City / Japanese Ministry of Internal Affairs and Communications / Pattern Analysis and Machine Intelligence / /

Person

Charles C Thomas / Body / S. Burger / V / /

Position

rst author / speaker / /

ProvinceOrState

Illinois / /

Technology

speech recognition / Information Technology / Digital Cameras / streaming video / classic block-matching algorithm / Adaptive HomogeneityDirected Demosaicing Algorithm / image processing / digital camera / /

URL

http /

SocialTag