NDLI: Realistic mouth animation based on an articulatory DBN model with constrained asynchrony

Content Provider	IEEE Xplore Digital Library
Author	Dongmei Jiang Ravyse, I. Peizhen Liu Sahli, H. Verhelst, W.
Copyright Year	2010
Description	Author affiliation: VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP), Northwestern Polytechnical University, Xi'an 710072, China (Dongmei Jiang; Peizhen Liu) \|\| VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP), Vrije Universiteit Brussel, Department ETRO, Pleinlaan 2, 1050 Brussels, Belgium (Ravyse, I.; Sahli, H.; Verhelst, W.)
Abstract	In this paper, we propose an approach to convert acoustic speech to video realistic mouth animation based on an articulatory dynamic Bayesian network model with constrained asynchrony (AF_AVDBN). Conditional probability distributions are defined to control the asynchronies between the articulators such as lips, tongue and glottis/velum. An EM-based conversion algorithm is also presented to learn the optimal visual features given an auditory input and the trained AF_AVDBN parameters. In the training of the AF_AVDBN models, downsampled YUV spatial frequency features of the interpolated mouth image sequences are extracted as visual features. For reproducing the mouth animation sequence, from the learned visual features, a spatial upsampling and a temporal downsampling are applied. Both qualitative and quantitative results show that the proposed method is capable of producing more natural and realistic mouth animations, and the accuracy is further improved compared to the state of the art multi-stream Hidden Markov Model (MSHMM) and articulatory DBN model without asynchrony constraint (AF_DBN).
Starting Page	2478
Ending Page	2481
File Size	279623
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5494894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mouth Animation Hidden Markov models Speech Bayesian methods Probability distribution Lips Tongue Image converters Frequency mouth animation AF_AVDBN AF_DBN asynchrony conditional probability distribution
Content Type	Text
Resource Type	Article

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