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ACCVW-MLAC 2016 : ACCV'16 Workshop on Multi-view Lip-reading & Audio-visual Challenges | |||||||||||||||
Link: http://ouluvs2.cse.oulu.fi/ACCVW.html | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPER: ACCV’16 Workshop on Multi-view Lip-reading/Audio-visual Challenges
http://ouluvs2.cse.oulu.fi/ACCVW.html November 20, Taipai, Taiwan ------------------------------------------------------------------------------------- Important Dates: Submission deadline: August 20, 2016 Notification of acceptance: September 10, 2016 Camera ready: September 17, 2016 ------------------------------------------------------------------------------------- [Descriptions] There is clear evidence that visual cues play an important role in automatic speech recognition either when audio is seriously corrupted by noise, through audiovisual speech recognition (AVSR), or even when it is inaccessible, through automatic lip-reading (ALR). This workshop is aimed to challenge researchers to deal with the large variation caused by camera-view changes in the context of ALR/AVSR. To this end, we have collected a multi-view audiovisual database, named 'OuluVS2', which includes 52 speakers uttering both discrete and continuous utterances, simultaneously recorded by 5 cameras from 5 different viewpoints. To facilitate participants, we have pre-processed most of the data to extract the regions of interest, that is, a rectangular area including the talking mouth. The database is suitable for research concerning visual speech as well as for other machine learning problem such as multi-view learning and transfer learning. Researchers are invited to tackle (but not limited to) the following problems: - Single-view ALR/AVSR - Multiple-view ALR/AVSR - Cross-view ALR/AVSR ------------------------------------------------------------------------------------- Organizers: Dr. Ziheng Zhou (University of Oulu, Finland) Prof. Guoying Zhao (University of Oulu, Finland) Prof. Richard Bowden (University of Surrey) Prof. Takeshi Saitoh (Kyushu Institute of Technology) |
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