On classification improvement by using an approximate discriminative hidden Markov model

On classification improvement by using an approximate discriminative hidden Markov model

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HMMs are statistical models used in a very successful and effective form in speech recognition. However, HMM is a general model to describe the dynamic of stochastic processes; therefore it can be applied to a huge variety of biomedical signals. Usually, the HMM parameters are estimated by means of...

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Bibliographic Details
Main Authors: Johanna Carvajal González, Milton Sarria Paja, Germán Castellanos Domínguez
Format: Article
Language:English
Published: Universidad de Antioquia 2013-03-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
hidden Markov models
discriminative training
MMI
biosignals
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/14726
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