Online unsupervised learning of hidden Markov models for adaptive speech recognition
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://digital-library.theiet.org/content/journals/10.1049/ip-vis_20010560?crawler=true&mimetype=application/pdf
Reference30 articles.
1. Online adaptation of hidden Markov models using incremental estimation algorithms
2. On-line adaptive learning of the continuous density hidden Markov model based on approximate recursive Bayes estimate
3. Online hierarchical transformation of hidden Markov models for speech recognition
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Dynamic Bayesian modelling of non-stationary stochastic systems using constrained least square estimation and gradient descent optimisation;IET Signal Processing;2012
2. Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model;Advances in Machine Learning and Cybernetics;2006
3. Grey relational analysis based approach for data clustering;IEE Proceedings - Vision, Image, and Signal Processing;2005
4. Fast Online Speaker Adaptation For Smart Room Applications;Ambient Intelligence
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