Probabilistic Correspondence Mapping for Audiovisual Speaker Modeling
Liu, Ming
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https://hdl.handle.net/2142/81062
Description
Title
Probabilistic Correspondence Mapping for Audiovisual Speaker Modeling
Author(s)
Liu, Ming
Issue Date
2007
Doctoral Committee Chair(s)
Thomas Huang
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
In addition to the framework of probabilistic correspondence mapping on audiovisual speaker modeling, we also explore the correspondence problems with different constraints. Frequency domain correspondence between speakers is established via dynamic programming for speaker normalization in speech recognition tasks. The adjacent constraints in frequency domain actually help to stabilize the algorithm, similar to the dynamic time warping techniques. We also explore the correspondence problem given the manifold structure of different pose face images. It turns out that the manifold structure is very useful to build a good correspondence across different subjects. For audiovisual fusion, a new fusion scheme factorizes audio and visual features into correlated and uncorrelated ones. The correlated features are considered to be the correspondence between two modalities.
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