Continuous Operator Authentication for Teleoperated Systems Using Hidden Markov Models

Speaking Style Authentication Using Suprasegmental Hidden Markov Models

The importance of speaking style authentication from human speech is gaining an increasing attention and concern from the engineering community. The importance comes from the demand to enhance both the naturalness and efficiency of spoken language human-machine interface. Our work in this research focuses on proposing, implementing, and testing speaker-dependent and text-dependent speaking styl...

Cellular diagnostic systems using hidden Markov models

Learning DYllamical Systems Using Hidden Markov Models

In this paper, we address the problem of learning models for complex processes under the assumption that the processes can be represented within the hidden Markov model (HMM) framework. Toward that aim, we investigate the strengths and weaknesses of two compet­ ing algorithms for learning HMMs: Baum-VVelch and Bayesian Model Merging. VVe offer insight into the reasons for the success or failure...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Protein Structure Analysis Using Continuous Density Hidden Markov Models

Hidden Markov models [2] (HMMs) have been successfully applied to Bioinformatics such as gene finding, remote homology detection and secondary structure prediction. On the other hand, continuous density HMMs have been widely used in the field of speech recognition. Though continuous density HMMs were not applied to Bioinformatics so far, they may also be useful in Bioinformatics. Currently, we ...