AV16.3: an Audio-Visual Corpus for Speaker Localization and Tracking
Type of publication: | Conference paper |
Citation: | lathoud04c |
Booktitle: | Proceedings of the 2004 MLMI Workshop, S. Bengio and H. Bourlard Eds, Springer Verlag |
Year: | 2005 |
Note: | IDIAP-RR 04-28 |
Crossref: | lathoud-rr-04-28: |
Abstract: | Assessing the quality of a speaker localization or tracking algorithm on a few short examples is difficult, especially when the ground-truth is absent or not well defined. One step towards systematic performance evaluation of such algorithms is to provide time-continuous speaker location annotation over a series of real recordings, covering various test cases. Areas of interest include audio, video and audio-visual speaker localization and tracking. The desired location annotation can be either 2-dimensional (image plane) or 3-dimensional (physical space). This paper motivates and describes a corpus of audio-visual data called ``AV16.3'', along with a method for 3-D location annotation based on calibrated cameras. ``16.3'' stands for 16 microphones and 3 cameras, recorded in a fully synchronized manner, in a meeting room. Part of this corpus has already been successfully used to report research results. |
Userfields: | ipdinar={2004}, ipdmembership={speech, vision}, |
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Added by: | [UNK] |
Total mark: | 0 |
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