An approach to statistical lip modelling for speaker identification via chromatic feature extraction


Autoria(s): Wark, T.; Sridharan, S.; Chandran, V.
Data(s)

1998

Resumo

This paper presents a novel technique for the tracking of moving lips for the purpose of speaker identification. In our system, a model of the lip contour is formed directly from chromatic information in the lip region. Iterative refinement of contour point estimates is not required. Colour features are extracted from the lips via concatenated profiles taken around the lip contour. Reduction of order in lip features is obtained via principal component analysis (PCA) followed by linear discriminant analysis (LDA). Statistical speaker models are built from the lip features based on the Gaussian mixture model (GMM). Identification experiments performed on the M2VTS<sup>1</sup> database, show encouraging results

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/45589/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/45589/1/c45589P.pdf

DOI:10.1109/ICPR.1998.711095

Wark, T., Sridharan, S., & Chandran, V. (1998) An approach to statistical lip modelling for speaker identification via chromatic feature extraction. In Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998, IEEE, Brisbane, Australia, pp. 123-125.

Direitos

Copyright 1998 IEEE

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Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #Gaussian distribution #biometrics (access control) #feature extraction #image recognition #speaker recognition #statistical analysis #tracking #GMM #Gaussian mixture model #LDA #M2VTS<sup>1</sup> database #PCA #chromatic feature extraction #concatenated profiles #linear discriminant analysis #lip contour model #principal component analysis #speaker identification #statistical lip modelling #statistical speaker models
Tipo

Conference Paper