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(2)
Maximum Likelihood Estimate
Markov Chain
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Maximumlikelihood estimation for mixture multivariate stochastic observations of Markov chains
Maximumlikelihood estimation for mixture multivariate stochastic observations of Markov chains,B. H Juang
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Maximumlikelihood estimation for mixture multivariate stochastic observations of Markov chains
(
Citations: 113
)
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B. H Juang
Published in 1985.
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Citation Context
(46)
...model is the most general case even for the logHMM although there is a slightly wider class which contains this model [9], [
10
]...
...Such classes include contemporary humanaware applications of HMMs such as BMI (Brain Machine Interface) [15] (EXP4), bioinformatics [6], and adaptable speech processing [3], [4], [5], [
10
], [12], [13]...
Yasuo Matsuyama
.
Hidden Markov model estimation based on alphaEM algorithm: Discrete a...
...<{[SECTION]}>i.e., p m,s , ¯ m and � m,s can also be rewritten as [38], [
51
]...
Nishchal K. Verma
,
et al.
Additive and Nonadditive Fuzzy Hidden Markov Models
...where N (O; μ, Σ ) denotes the multivariate Gaussian distribution. It is straightforward to derive that [
8
]...
Ryoichi Takashima
,
et al.
HMMbased separation of acoustic transfer function for singlechannel ...
...In all cases, the baseline recognizers are designed via Maximum Likelihood distribution estimation using the EM algorithm [
23
], [24]...
Qiang Fu
,
et al.
Empirical system learning for statistical pattern recognition with non...
...Among them, HMM has been widely used due to its efficient training techniques based on maximum likelihood estimation (MLE) [
15
] or discriminative methods [16]...
R. K. Aggarwal
,
et al.
Tied Mixture Modeling in Hindi Speech Recognition System
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Citations
(113)
Hidden Markov Models for automatic speech recognition
Mbarki Aymen
,
Ammari Abdelaziz
,
Sghaier Halim
,
Hassen Maaref
Conference:
International Conference on Communications, Computing and Control Applications  CCCA
, 2011
Hidden Markov model estimation based on alphaEM algorithm: Discrete and continuous alphaHMMs
Yasuo Matsuyama
Conference:
International Symposium on Neural Networks  ISNN
, pp. 808816, 2011
Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
(
Citations: 2
)
Diego H. Milone
,
Leandro E. Di Persia
,
María E. Torres
Journal:
Pattern Recognition  PR
, vol. 43, no. 4, pp. 15771589, 2010
Additive and Nonadditive Fuzzy Hidden Markov Models
(
Citations: 2
)
Nishchal K. Verma
,
Madasu Hanmandlu
Journal:
IEEE Transactions on Fuzzy Systems  TFS
, vol. 18, no. 1, pp. 4056, 2010
HMMbased separation of acoustic transfer function for singlechannel sound source localization
(
Citations: 1
)
Ryoichi Takashima
,
Tetsuya Takiguchi
,
Yasuo Ariki
Conference:
International Conference on Acoustics, Speech, and Signal Processing  ICASSP
, pp. 28302833, 2010