Conference Paper/Proceeding/Abstract 1001 views
Acoustic and facial features for speaker recognition
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000
Swansea University Author: Matt Roach
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DOI (Published version): 10.1109/icpr.2000.903534
Abstract
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 simi...
Published in: | Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 |
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Published: |
IEEE Comput. Soc
2002
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Online Access: |
http://dx.doi.org/10.1109/icpr.2000.903534 |
URI: | https://cronfa.swan.ac.uk/Record/cronfa39141 |
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Abstract: |
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 2 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 contain more variation and demand more training data |
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College: |
Faculty of Science and Engineering |