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Forward–backward algorithm
Known as:
Forward-backward algorithm
, Forward/backward algorithm
, Posterior decoding
The forward–backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state…
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Related topics
Related topics
12 relations
Algorithm
BCJR algorithm
Belief propagation
Hidden Markov model
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Broader (2)
Dynamic programming
Error detection and correction
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Multi-faceted aspects of chunking enable robust algorithms 1 Running head : ALGORITHM FOR CHUNKING INFERENCE Multi-faceted aspects of chunking enable robust algorithms
Daniel Ernesto Acuna
,
N. Wymbs
,
+5 authors
Konrad Paul Kording
2014
Corpus ID: 8404370
Sequence production tasks are a standard tool to analyze motor learning, consolidation, and habituation. As sequences are learned…
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2013
2013
Improved Forward-Backward Algorithm of DMFTBased on Second-Order Differential for the Characteristics of Wave Propagation
Shao-Bai Wang
2013
Corpus ID: 123839009
Due to the problem of values concussion and the phenomenon of " Bad Alpha"in traditional DMFTs,an improved forward-backward…
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2009
2009
PostCAT - Posterior Constrained Alignment Toolkit
João Graça
,
Kuzman Ganchev
,
B. Taskar
Prague Bulletin of Mathematical Linguistics
2009
Corpus ID: 7125907
PostCAT - Posterior Constrained Alignment Toolkit In this paper we present a new open-source toolkit for statistical word…
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2007
2007
Forward-Backward Algorithm for state duration HMM2
Jian Wang
2007
Corpus ID: 124514760
This paper discusses that state duration is used to model traditional HMM2 model,improves Markov assumption condition of state…
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2006
2006
Forward-backwards training of hybrid HMM/BN acoustic models
K. Markov
,
Satoshi Nakamura
Interspeech
2006
Corpus ID: 17768956
In this paper, we describe an application of the Forward-Backwards (F-B) algorithm for maximum likelihood training of hybrid HMM…
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2002
2002
Spectral subtraction in noisy environments applied to speaker adaptation based on HMM sufficient statistics
Shingo Yamade
,
Kanako Matsunami
,
Akira Baba
,
Akinobu Lee
,
H. Saruwatari
,
K. Shikano
Interspeech
2002
Corpus ID: 14569882
ICSLP2002: the 7th International Conference on Spoken Language Processing , September 16-20, 2002, Denver, Colorado, USA.
2000
2000
Discourse Mixture Language Modeling
L. Levitin
,
Mari Ostendorf
,
L. Levitin
,
R. Iyer
2000
Corpus ID: 13802667
Acknowledgments My rst words of acknowledgment must go to Mari Ostendorf and Rukmini Iyer. Without their support and guidance…
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1996
1996
A Forward Backward Algorithm for ML State and Sequence Estimation
G. D. Brushe
,
R. Mahony
,
J. Moore
Fourth International Symposium on Signal…
1996
Corpus ID: 14559535
The classical Viterbi algorithm is used to estimate the maximum likelihood state sequence from a block of observed data. It…
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1995
1995
The competitive forward-backward algorithm (CFB)
P. Galindo
1995
Corpus ID: 62539448
We present a novel neural network algorithm to train HMM models, called Competitive Forward Backward algorithm (CFB). It focuses…
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1993
1993
On the locality of the forward-backward algorithm [speech recognition]
B. Mérialdo
IEEE Transactions on Speech and Audio Processing
1993
Corpus ID: 5902716
A theorem which shows that the local maximum found by the forward-backward algorithm in the case of discrete hidden Markov models…
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