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» A hierarchical point process model for speech recognition
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ICASSP
2010
IEEE
14 years 10 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
CSL
2004
Springer
14 years 9 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
BMVC
2000
14 years 11 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green
ICASSP
2011
IEEE
14 years 1 months ago
Variational approximation of long-span language models for lvcsr
Long-span language models that capture syntax and semantics are seldom used in the first pass of large vocabulary continuous speech recognition systems due to the prohibitive sea...
Anoop Deoras, Tomas Mikolov, Stefan Kombrink, Mart...
DAGM
2001
Springer
15 years 2 months ago
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
Carsten Steger