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EMNLP
2004
15 years 8 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
ICASSP
2010
IEEE
15 years 7 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
INFSOF
2006
97views more  INFSOF 2006»
15 years 6 months ago
Applying Model-Driven Architecture to achieve distribution transparencies
This paper proposes a principled methodology for the realization of distribution transparencies. The proposed methodology is placed within the general context of Model-Driven Arch...
Apostolos Zarras
PAMI
2008
182views more  PAMI 2008»
15 years 6 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
UMUAI
2008
111views more  UMUAI 2008»
15 years 6 months ago
Mediation of user models for enhanced personalization in recommender systems
Abstract. Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This paper proposes a general framework and specific methodolo...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci