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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lucey, P. Sridharan, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Image & Video Technol. Lab., Queensland Univ. of Technol., Brisbane, QLD (Lucey, P.; Sridharan, S.) |
| Abstract | Having an audio-visual automatic speech recognition (AVASR) system which can recognise what a speaker's says regardless of head position (i.e. left profile, front, right profile etc.), would be most useful as it enables this technology to be used in a host of realistic applications such as mobile phone and in-vehicle speech recognition. A major hurdle in achieving this goal is in developing a visual front-end which can effectively locate and track a user's face and facial features from a single camera. In this paper, we describe a visual front-end which incorporates a pose-estimator in conjunction with a parallel series of pose specific face and facial feature classifier based on a boosted cascade of simple classifiers devised by Viola and Jones [6]. Results of our visual front-end are tested on the CUAVE database. We also give lipreading results on the CUAVE database, which shows that AVASR whilst a speaker is moving their head is indeed achievable. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 248325 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424442430 |
| DOI | 10.1109/ICSPCS.2008.4813664 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Head Mouth Speech recognition Cameras Spatial databases Mobile handsets Visual databases Facial features Automatic speech recognition Testing |
| Content Type | Text |
| Resource Type | Article |
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