Who Cited It

A tutorial on hidden Markov models and selected applications in speech recognition

1989 · Proceedings of the IEEE · 22,910 citations · 25 from inside this corpus

L. R. Rabiner

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

A tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…An introduction to hidden Markov models (1986)An introduction to hidden Mar…Statistical Inference for Probabilistic Functions of Finite State Markov Chains (1966)Statistical Inference for Pro…A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002)A tutorial on particle filter…Segmentation of brain MR images through a hidden Markov random field model and the expect… (2001)Segmentation of brain MR imag…Survey of Clustering Algorithms (2005)Survey of Clustering Algorith…Profile hidden Markov models. (1998)Profile hidden Markov models.Connectionist temporal classification (2006)Connectionist temporal classi…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Hierarchical Dirichlet Processes (2006)Hierarchical Dirichlet Proces…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Sentiment Analysis and Opinion Mining (2012)Sentiment Analysis and Opinio…Bidirectional LSTM-CRF Models for Sequence Tagging (2015)Bidirectional LSTM-CRF Models…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Incorporating non-local information into information extraction systems by Gibbs sampling (2005)Incorporating non-local infor…Dynamic bayesian networks: representation, inference and learning (2002)Dynamic bayesian networks: re…Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Natural language processing: an introduction (2011)Natural language processing: …Hidden Markov Models in Computational Biology (1994)Hidden Markov Models in Compu…Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…Speaker recognition: a tutorial (1997)Speaker recognition: a tutori…The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Introduction to Machine Learning (2019)Introduction to Machine Learn…A Bayesian computer vision system for modeling human interactions (2000)A Bayesian computer vision sy…Design challenges and misconceptions in named entity recognition (2009)Design challenges and misconc…Stochastic variational inference (2013)Adaptive Computation and Machine Learning (2012)Adaptive Computation and Mach…
27 of 27 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
An introduction to hidden Markov models19864,812
Statistical Inference for Probabilistic Functions of Finite State Markov Chains19662,811

What cites it, inside the corpus

PaperYearCited
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking200211,564
Segmentation of brain MR images through a hidden Markov random field model and the expect…20017,407
Survey of Clustering Algorithms20056,210
Profile hidden Markov models.19985,845
Connectionist temporal classification20065,582
Natural Language Processing (almost) from Scratch20115,174
Semi-Supervised Learning Literature Survey20053,879
Hierarchical Dirichlet Processes20063,580
Sentiment Analysis and Opinion Mining20173,331
Sentiment Analysis and Opinion Mining20123,289
Bidirectional LSTM-CRF Models for Sequence Tagging20153,287
A survey of deep neural network architectures and their applications20163,285
Incorporating non-local information into information extraction systems by Gibbs sampling20053,044
Dynamic bayesian networks: representation, inference and learning20022,604
Probabilistic machine learning and artificial intelligence20152,031
Natural language processing: an introduction20112,014
Hidden Markov Models in Computational Biology19941,967
Deep Learning: Methods and Applications20141,801
Speaker recognition: a tutorial19971,638
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Introduction to Machine Learning20191,620
A Bayesian computer vision system for modeling human interactions20001,576
Design challenges and misconceptions in named entity recognition20091,491
Stochastic variational inference20131,480
Adaptive Computation and Machine Learning20121,437

Links

DOI · OpenAlex record

Topics

Bayesian Methods and Mixture ModelsComputer Science
Speech Recognition and SynthesisComputer Science
Speech and dialogue systemsComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports69 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…