In this paper a new variant of HMM named distributed VQ HMM (DVQHMM) is presented. Its main characteristic is the use of a code books distributed on HMM states with a new manner of HMM parameters estimation. Procedures for training and HMM evaluation of each recognition unit are described. Comparative results on an isolated phoneme recognition system are shown, between DVQHMM and conventional V...

Two novel approaches to the problem of brain signals (electroencephalogram (EEG)) classification are introduced in the paper. The first method is based on a modular probabilistic network architecture that employs multiple dependant hidden Markov models (DM-HMM-D) on the input features (channels). The second method, eClass, is based on an on-line evolvable fuzzy rule base of EEG signal prototype...

In this paper, we evaluate performance of model adaptation by the previously proposed HMM decomposition method[1] on telephone speech recognition. The HMM decomposition method separates a composed HMM into a known phoneme HMM and an unknown noise and channel HMM by maximum likelihood (ML) estimation of the HMM parameters. A transfer function (telephone channel) HMM is estimated using adaptation...

The whale sounds help researchers in population assessments and to follow the migratory path of whales. Acoustics is the best way to study and observe cetaceans since it is automatic and non-invasive. A technique capable of differentiating between whale songs, other marine sounds and man-made sounds would be very useful for the scientific community. This paper presents a system that can classif...

Credit card frauds are increasing day by day regardless of the various techniques developed for its detection. Fraudsters are so expert that they engender new ways for committing fraudulent transactions each day which demands constant innovation for its detection techniques as well. Many techniques based on Artificial Intelligence, Data mining, Fuzzy logic, Machine learning, Sequence Alignment,...

<div class="WordSection1"><p>The purpose of this study is to discuss the design and implementation autonomous surface vehicle (ASV) systems. There’s a lot riding on advancement improvement ASV applications, especially given benefits they provide over other biometric approaches. Modern speaker recognition systems rely statistical models like hidden Markov model (HMM), support vector ...

Marine passive acoustic monitoring can be used to study biological, geophysical, and anthropogenic phenomena in the ocean. The wide range of characteristics from sounds sources makes simultaneous automatic detection classification these a significant challenge. Here, we propose single Hidden Markov Model-based system with Deep Neural Network (HMM-DNN) for low-frequency biological (baleen whales...