A Novel Voice Authentication Using Hidden Markov Model (HMM)

tuberculosis surveillance using a hidden markov model

background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...

Personal Multimodal Biometric Authentication Using Unsupervised Learning, Hidden Markov Model (HMM)

Intrusion Detection Using Evolutionary Hidden Markov Model

Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training,  ...

Abnormality Detection in a Landing Operation Using Hidden Markov Model

The air transport industry is seeking to manage risks in air travels. Its main objective is to detect abnormal behaviors in various flight conditions. The current methods have some limitations and are based on studying the risks and measuring the effective parameters. These parameters do not remove the dependency of a flight process on the time and human decisions. In this paper, we used an HMM...

A Talking Face Driven by Voice using Hidden Markov Model

In this paper, we utilized Hidden Markov Model (HMM) as a mapping mechanism between two different kinds of correlated signals. Specifically, we developed a voicedriven talking head system by exploiting the physical relationships between the shape of the mouth and the sound that is produced. The proposed system can be easily trained and a talking head can be efficiently animated. In the training...