1084 search results - page 102 / 217 » Hidden Markov Models with Multiple Observation Processes |
137
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
138
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IEEEICCI
2006
IEEE
15 years 10 months ago
2006
IEEE
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
127
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ICGI
1994
Springer
15 years 8 months ago
1994
Springer
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
126
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CSL
2007
Springer
15 years 3 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
109
Voted
JMLR
2002
15 years 3 months ago
2002
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incor...