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PREDICTING FACE MOVEMENTS FROM SPEECH ACOUSTICS USING SPECTRAL Jintao Jiang1
 

Summary: PREDICTING FACE MOVEMENTS FROM SPEECH ACOUSTICS USING SPECTRAL
DYNAMICS
Jintao Jiang1
, Abeer Alwan1
, Lynne E. Bernstein2
, Edward T. Auer, Jr.2
, and Patricia A. Keating3
1
Department of Electrical Engineering, University of California at Los Angeles, CA 90095
2
Department of Communication Neuroscience, House Ear Institute, Los Angeles, CA 90057
3
Department of Linguistics, University of California at Los Angeles, CA 90095
ABSTRACT
This paper introduces a new dynamical model which enhances
the relationship between face movements and speech acoustics.
Based on the autocorrelation of the acoustics and of the face
movements, a causal and a non-causal filter are proposed to
approximate dynamical features in the speech signals. The
database consisted of sentences recorded acoustically, and by

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences