Inverse Filtering for 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

The GlottHMM Entry for Blizzard Challenge 2011: Utilizing Source Unit Selection in HMM-Based Speech Synthesis for Improved Excitation Generation

This paper describes the GlottHMM speech synthesis system for Blizzard Challenge 2011. GlottHMM is a hidden Markov model (HMM) based speech synthesis system that utilizes glottal inverse filtering for separating the vocal tract and the glottal source from speech signal and models both components individually. In this year’s entry, stabilized weighted linear prediction (SWLP) is used to yield mo...

Inverse Problems in Imaging Systems and the General Bayesian Inversion Frawework

In this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. Then a common general forward modeling for them is given and the corresponding inversion problem is presented. Then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a Baye...