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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
Economic Growth, Energy Consumption, Financial Development, International Trade and CO2 Emissions, in Indonesia
M. Shahbaz
,
Q. Hye
,
A. Tiwari
,
N. Leitão
2013
Corpus ID: 27749586
Review
2006
Review
2006
Expander Graphs and their Applications
N. Linial
2006
Corpus ID: 120893346
A major consideration we had in writing this survey was to make it accessible to mathematicians as well as to computer scientists…
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Highly Cited
2006
Highly Cited
2006
Responding to Organizational Identity Threats: Exploring the Role of Organizational Culture
Davide Ravasi
,
M. Schultz
2006
Corpus ID: 54535572
In this paper, we present a longitudinal study of organizational responses to environmental changes that induce members to…
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Highly Cited
2004
Highly Cited
2004
Reframing public participation: strategies for the 21st century
J. Innes
,
D. Booher
2004
Corpus ID: 145715304
This article makes the case that legally required participation methods in the US not only do not meet most basic goals for…
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Highly Cited
1997
Highly Cited
1997
Handbook of organization studies
Raymond F. Zammuto
,
S. Clegg
,
C. Hardy
,
W. Nord
1997
Corpus ID: 145640209
Introduction - Stewart R Clegg and Cynthia Hardy Organizations, Organization and Organizing PART ONE: FRAMEWORKS FOR ANALYSIS…
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Review
1997
Review
1997
A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models
1997
Corpus ID: 260604709
Highly Cited
1995
Highly Cited
1995
The HTK book
S. Young
,
Jack Jansen
,
J. Odell
,
Dg Ollason
,
P. Woodland
1995
Corpus ID: 16197350
1 The Fundamentals of HTK 2 1.1 General Principles of HMMs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2…
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Review
1989
Review
1989
A tutorial on hidden Markov models and selected applications in speech recognition
L. Rabiner
Proceedings of the IEEE
1989
Corpus ID: 13618539
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie…
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Review
1982
Review
1982
WHO Handbook for Reporting Results of Cancer Treatment
Eds K H Hollman
,
J. De Brux
,
M. Harris
British Journal of Cancer
1982
Corpus ID: 31829749
pages on lung carcinoma, and Taxy & Battifora's 70 pages on soft-tissue tumours (each with an impressive reference list of almost…
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