نتایج جستجو برای: homogeneous hidden markov

تعداد نتایج: 187622  

Abdollah Aaghaie Sepideh Sepideh

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

Journal: :EURASIP J. Audio, Speech and Music Processing 2010
Ismail Shahin

Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments. This work is devoted to proposing, implementing, and evaluating new models called Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) to alleviate the deteriorated performance in the shouted talking environ...

2006
Hilmi Yildirim

Hidden Markov models are widely used in the areas of speech recognition and bioinformatics. Hidden Markov models differ from simple Markov models by including hidden states in addition to observable states. For example in bioinformatics, it is not easy to figure out what lies beneath the sequences by using simple Markov models. Once the Hidden Markov Model structure is determined, there are thr...

1989
Paul van Alphen

In current speech recognition research the use of hidden Markov models becomes more and more successful. However, for those who know little or nothing about (hidden) Markov models, no accessible introduction exists to our knowledge. What is a Markov model? How can Markov models be used as recognizers? Why is a hidden Markov model hidden? In this article an attempt has been made to answer these ...

2012
Guy Leonard Kouemou

The following chapter can be understood as one sort of brief introduction to the history and basics of the Hidden Markov Models. Hidden Markov Models (HMMs) are learnable finite stochastic automates. Nowadays, they are considered as a specific form of dynamic Bayesian networks. Dynamic Bayesian networks are based on the theory of Bayes (Bayes & Price, 1763). A Hidden Markov Model consists of tw...

2009
M. S. Ryan G. R. Nudd

Hidden Markov Model theory is an extension of the Markov Model process. It has found uses in such areas as speech recognition, target tracking and word recognition. One area which has received little in the way of research interest, is the use of Hidden Markov Models in character recognition. In this paper the application of Hidden Markov Model theory to dynamic character recognition is investi...

Journal: :Journal of Computer Virology and Hacking Techniques 2014

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