Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Speaker-independent speech-driven facial animation using a hierarchical model

Cosker, Darren P., Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 and Hicks, Yulia Alexandrovna ORCID: https://orcid.org/0000-0002-7179-4587 2003. Speaker-independent speech-driven facial animation using a hierarchical model. Presented at: International Conference on Visual Information Engineering 2003, University of Surrey, UK, 7-9 July 2003.

Full text not available from this repository.

Abstract

We present a system capable of producing video-realistic videos of a speaker given audio only. The audio input signal requires no phonetic labelling and is speaker independent. The system requires only a small training set of video to achieve convincing realistic facial synthesis. The system leams the natural mouth and face dynamics of a speaker to allow new facial poses, unseen in the training video, to be synthesised. To achieve this we have developed a novel approach which utilises a hierarchical and non-linear PCA model which couples speech and appearance. We show that the model is capable of synthesising videos of a speaker using new audio segments from both previously heard and unheard speakers. The model is highly compact making it suitable for a wide range of real-time applications in multimedia and telecommunications using standard hardware.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Facial animation ; facial modelling ; videos ; faces ; talking heads ; computer animation ; speech processing ;
Additional Information: Organised by the IEE, Visual Information Engineering Professional Network
Last Modified: 17 Oct 2022 09:41
URI: https://orca.cardiff.ac.uk/id/eprint/5165

Citation Data

Actions (repository staff only)

Edit Item Edit Item