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» Gesture Modeling and Recognition Using Finite State Machines
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SSPR
2010
Springer
14 years 10 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
COLT
1994
Springer
15 years 3 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
98
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ICASSP
2010
IEEE
14 years 12 months ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...
ICPR
2008
IEEE
16 years 29 days ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
PCI
2001
Springer
15 years 4 months ago
Communicating X-Machines: From Theory to Practice
Formal modeling of complex systems is a non-trivial task, especially if a formal method does not facilitate separate development of the components of a system. This paper describes...
Petros Kefalas, George Eleftherakis, Evangelos Keh...