This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...

As important research for drilling engineering, the prediction of oil and gas shaft lining conditions is changing from traditional method based on mechanism model to intelligent combining with data model. Therefore, this paper establishes a stacking integrated predicting uniaxial compression strength (UCS) rock four basic parameters that can reflect characteristics mass. At same time, expectati...

This paper presents a new on-line recognition of Thai handwri t ten characters. Active researches in Thai handwri t ten character recognition are converged into two distinct methods, H M M a n d Fuzzy logic classifier. T h e former showed poor recognition rate d u e t o Thai fuzzy characters. The shortcoming of t h e la t te r is on difficulties in establishing t h e se t of rules t o cover a w...

In our daily life, people are often using forecasting techniques to predict weather, stock, economy and even some important Key Performance Indicator (KPI), and so forth. Therefore, forecasting methods have recently received increasing attention. In the last years, many researchers used fuzzy time series methods for forecasting because of their capability of dealing with vague data. The followe...

In this paper, we present investigations on using segmental phonetic features in an N-best solutions post processing of an HMM based ASR system. These phonetic features are extracted by means of neural-fuzzy networks. Specialized neural-fuzzy networks are defined to recognize specific phonetic features (consonant/vowel, voiced/unvoiced, ...). Each of these neural networks furnishes a segmental ...

introduction: evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. most brain-computer interface (bci) systems use the p300 component,  which is an evoked potential. in this paper, we evaluate the use of the hidden markov model (hmm) for  detection of p300.  materials and methods: the wavelet transforms, wavelet-enhanced indepen...

This article addresses the event-triggered asynchronous fault detection (FD) problem of fuzzy-model-based nonlinear Markov jump systems (MJSs) with partially unknown transition probabilities. For this objective, plant is modeled as an interval type-2 (IT2) fuzzy MJS aid IT2 sets capturing uncertainties membership functions. An adaptive scheme introduced to bring down costs communication network...

Reduction of MRI data acquisition time is an important goal in the MRI field. Undersampling k-t space is a solution to reduce acquisition time. MR images may have sparse or compressible presentations in appropriate transform domains, such as wavelets. According to the Compressive Sensing (CS) theory, they can be recovered from randomly undersampled k-t space data that guarantees incoherency bet...