Lip animation of a personalized facial model from auditory speech

J. Melenchón, I. Iriondo, J. C. Socoró, E. Matinez, L. Meler

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper proposes a new method for lip animation of personalized facial model from auditory speech. It is based on Bayesian estimation and person specific appearance models (PSFAM). Initially, a video of a speaking person is recorded from which the visual and acoustic features of the speaker and their relationship will be learnt. First, the visual information of the speaker is stored in a color PSFAM by means of a registration algorithm. Second, the auditory features are extracted from the waveform attached to the recorded video sequence. Third, the relationship between the learnt PSFAM and the auditory features of the speaker is represented by Bayesian estimators. Finally, subjective perceptual tests are reported in order to measure the intelligibility of the preliminary results synthesizing isolated words.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas255-258
Número de páginas4
ISBN (versión digital)0780382927, 9780780382923
DOI
EstadoPublicada - 2003
Evento3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Alemania
Duración: 14 dic 200317 dic 2003

Serie de la publicación

NombreProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Conferencia

Conferencia3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
País/TerritorioAlemania
CiudadDarmstadt
Período14/12/0317/12/03

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