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Baum–Welch algorithm
Known as:
Baum Welch algorithm
, Baum-Welch
, Baum-Welch algorithm
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In electrical engineering, computer science, statistical computing and bioinformatics, the Baum–Welch algorithm is used to find the unknown…
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Related topics
Related topics
19 relations
Bayesian programming
Bioinformatics
Coding theory
Computer science
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition
P. Kenny
,
Themos Stafylakis
,
P. Ouellet
,
Vishwa Gupta
,
Md. Jahangir Alam
The Speaker and Language Recognition Workshop
2014
Corpus ID: 14303001
We examine the use of Deep Neural Networks (DNN) in extracting Baum-Welch statistics for i-vector-based textindependent speaker…
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Highly Cited
2013
Highly Cited
2013
Distributive Politics Around the World
M. Golden
,
B. Min
2013
Corpus ID: 10413579
We inventory more than 150 studies of distributive politics in more than three dozen countries other than the United States. We…
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Highly Cited
2008
Highly Cited
2008
When does entrepreneurial self-efficacy enhance versus reduce firm performance?
Keith M. Hmieleski
,
R. Baron
2008
Corpus ID: 6729418
The entrepreneurial self-efficacy of lead founders has been generally considered to be a robust predictor of the performance of…
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Highly Cited
2008
Highly Cited
2008
The Global Diffusion of Markets and Democracy: The international diffusion of public sector downsizing: network emulation and theory-driven learning
Chang kil Lee
,
D. Strang
2008
Corpus ID: 154454838
Highly Cited
2005
Highly Cited
2005
Flammability properties of polymer nanocomposites with single-walled carbon nanotubes: effects of nanotube dispersion and concentration *
T. Kashiwagi
,
Fangming Du
,
+5 authors
J. Douglas
2005
Corpus ID: 55702522
Review
2002
Review
2002
Inventors and New Venture Formation: the Effects of General Self–Efficacy and Regretful Thinking
G. Markman
,
D. Balkin
,
R. Baron
2002
Corpus ID: 153800270
This research assesses two individual differences—general self–efficacy and regretful thinking—in the context of technological…
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Highly Cited
2000
Highly Cited
2000
Health, community and development: towards a social psychology of participation
C. Campbell
,
S. Jovchelovitch
2000
Corpus ID: 55973689
The concept of ‘community participation’ plays a central role in policies and interventions seeking to reduce health inequalities…
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Highly Cited
2000
Highly Cited
2000
A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces
P. Baggenstoss
IEEE International Conference on Acoustics…
2000
Corpus ID: 14966525
In this paper, a new algorithm based on the Baum-Welch algorithm for estimating the parameters of a hidden Markov model (HMM) is…
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Highly Cited
2000
Highly Cited
2000
Training Hidden Markov Models with Multiple Observations-A Combinatorial Method
Xiaolin Li
,
M. Parizeau
,
R. Plamondon
IEEE Transactions on Pattern Analysis and Machine…
2000
Corpus ID: 13850496
Hidden Markov models (HMM) are stochastic models capable of statistical learning and classification. They have been applied in…
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Highly Cited
1982
Highly Cited
1982
Maximum likelihood estimation for multivariate observations of Markov sources
L. A. Liporace
IEEE Transactions on Information Theory
1982
Corpus ID: 30026295
Parameter estimation for multivariate functions of Markov chains, a class of versatile statistical models for vector random…
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