Contextual Analysis for Middle Eastern Languages with Hidden Markov Models

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

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

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

A Combined Approach to Part-of-Speech Tagging Using Features Extraction and Hidden Markov Model

Words are characterized by its features. In an inflectional language, category of a word can be express by its tense, aspect and modality (TAM). Extracting features from an inflected word, one can categorised it with proper morphology. Hence features extraction could be a technique of part-of-speech (POS) tagging for morphologically inflected languages. Again, many words could have same feature...

Speech enhancement based on hidden Markov model using sparse code shrinkage

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 ...