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The viterbi algorithm
G David Forney · 1973
Earlier work this paper cites.
A tutorial on hidden markov models and selected applications in speech recognition
Lawrence R Rabiner · 1989
Earlier work this paper cites.
An efficient forward-backward algorithm for an explicit-duration hidden markov model
Shun-Zheng Yu and Hisashi Kobayashi · 2003
Earlier work this paper cites.

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2022

Moreno-Pino, Fernando, Sükei, Emese, Olmos, Pablo M. et al.

We introduce PyHHMM, an object-oriented open-source Python implementation of Heterogeneous-Hidden Markov Models (HHMMs).

In addition to HMM's basic core functionalities, such as different initialization algorithms and classical observations models, i.e., continuous and multinoulli, PyHHMM distinctively emphasizes features not supported in similar available frameworks: a heterogeneous observation model, missing data inference, different model order selection criterias, and semi-supervised training.
These characteristics result in a feature-rich implementation for researchers working with sequential data.
PyHHMM relies on the numpy, scipy, scikit-learn, and seaborn Python packages, and is distributed under the Apache-2.0 License.

The viterbi algorithm
G David Forney · 1973
Earlier work this paper cites.
A tutorial on hidden markov models and selected applications in speech recognition
Lawrence R Rabiner · 1989
Earlier work this paper cites.
An efficient forward-backward algorithm for an explicit-duration hidden markov model
Shun-Zheng Yu and Hisashi Kobayashi · 2003
Earlier work this paper cites.

Parallel implementation of baum–welch algorithm
M Anikeev and O Makarevich · 2006
Cited alongside, same era.
Inference in hidden markov models
Olivier Cappé, Eric Moulines, and Tobias Rydén · 2009
Cited alongside, same era.

Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
Later among the works it cites.
Intro to hidden markov models the baum-welch algorithm
Emilio Frazzoli · 2013
Later among the works it cites.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…