Sciweavers

Share
ICPR
2000
IEEE

Acoustic and Facial Features for Speaker Recognition

8 years 10 months ago
Acoustic and Facial Features for Speaker Recognition
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.
Matthew Roach, Jason Brand, John S. Mason
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Matthew Roach, Jason Brand, John S. Mason
Comments (0)
books