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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Acoustic and Facial Features for Speaker Recognition
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
M. Roach, University of Wales
J. Brand, University of Wales
J. Mason, University of Wales
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features. Experiments are carried out using a corpus of the DAVID audio-visual database. Recognition accuracy is found to be similar in the two domains.The geometric visual feature is based on a method of signature coding of the contour of the lips and the holistic feature is based on a mean dynamic signature, a method of capturing the motions of the face during a spoken utterance. Physical biometrics (static measurements) demand only small model sizes perhaps just a single template and therefore require less training data. Conversely, behavioral biometrics contains more variation and demand more training data.
Citation:
M. Roach, J. Brand, J. Mason, "Acoustic and Facial Features for Speaker Recognition," icpr, vol. 3, pp.3262, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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