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ICASSP
2009
IEEE
16 years 2 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
ICASSP
2009
IEEE
16 years 2 months ago
ViBE: A powerful random technique to estimate the background in video sequences
Background subtraction is a crucial step in many automatic video content analysis applications. While numerous acceptable techniques have been proposed so far for background extra...
Olivier Barnich, Marc Van Droogenbroeck
ICASSP
2009
IEEE
16 years 2 months ago
Voice convergin: Speaker de-identification by voice transformation
Speaker identification might be a suitable answer to prevent unauthorized access to personal data. However we also need to provide solutions to secure transmission of spoken infor...
Qin Jin, Arthur R. Toth, Tanja Schultz, Alan W. Bl...
ICASSP
2009
IEEE
16 years 2 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
ICASSP
2009
IEEE
16 years 2 months ago
A flat direct model for speech recognition
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
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