48 search results - page 3 / 10 » Application of continuous state Hidden Markov Models to a cl... |
ECML
2006
Springer
14 years 2 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
IDA
2006
Springer
13 years 10 months ago
2006
Springer
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
ISMIR
2005
Springer
14 years 3 months ago
2005
Springer
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
TASLP
2002
13 years 10 months ago
2002
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...