Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Hidden Markov Modeling"”.
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Implementation of a Connected Digit Recognizer Using Continuous Hidden Markov Modeling
… connected-digit recognizer using continuous Hidden Markov Modeling (HMM). The speech recognition system was implemented using MATLAB and on the ADSP-2181, a digital signal processor manufactured by Analog Devices. Linear predictive coding (LPC) analysis was first performed on a speech signal …
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A novel reduced-complexity approach to hidden Markov modeling of two-dimensional processes with application to face recognition.
The 2-D Hidden Markov Model (HMM) is an extension of the traditional 1-D HMM that has shown distinctive efficiency in modeling 1-D signals. Unlike 1-D HMMs, 2-D HMMs are known for their prohibitively high complexity. This encouraged many researchers to work on alternatives such as Pseudo 2-D HMM …
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Enhancements in Markovian Dynamics
Many common statistical techniques for modeling multidimensional dynamic data sets can be seen as variants of one (or multiple) underlying linear/nonlinear model(s). These statistical techniques fall into two broad categories of supervised and unsupervised learning. The emphasis of this …
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Infrastructure development for integration of lip reading into the SUMMIT Speech Recognizer
… length video frames using segment constrained Hidden Markov Modeling. A Viterbi search over the per-segment Hidden Markov Model resolves the variable asynchrony between the audio and video streams. The two streams are combined according to a relative weighting scheme, which is determined by …
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An investigation of multi-dimensional evolutionary algorithms for virtual reality scenario development
… are evaluated for this purpose – deterministic modeling, auto-regressive moving average modeling, genetic algorithm modeling, and hidden Markov modeling. Benefits, drawbacks, and trade-offs are evaluated with reference to their suitability for development in a VR environment. The methods …
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Discrete HMM isolated digit recognition
… recognition of the spoken word using discrete Hidden Markov Modeling (HMM) of the words. We discuss the discrete HMM in detail and explain why it is suitable for performing the recognition. A detailed explanation of the training algorithm used to train the HMM to recognize the words is …
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Markov Approximations: The Characterization of Undermodeling Errors
… is concerned with characterizing the quality of Hidden Markov modeling when learning from limited data. It introduces a new perspective on different sources of errors to describe the impact of undermodeling. Our view is that modeling errors can be decomposed into two primary sources of errors: …
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A stochastic measure of similarity between dolphin signature whistles
… thesis describes the novel use of stochastic modeling to automate the comparison of dolphin whistles and to yield an objective, quantitative measure of whistle similarity. The relationship of bottlenose dolphin whistle production to a model of human speech production is discussed, providing a …
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Single-molecule FRET study on the RecA-mediated DNA repair
… recombination. Using single-molecule assays and hidden Markov modeling, we show the most direct evidence that a RecA filament grows and shrinks primarily, one monomer at a time only from the extremities. Both ends grow and shrink, contrary to earlier predictions, and a higher binding rate at one …
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Modeling problem solving in Massive Open Online Courses
… in terms of resource use patterns by using hidden Markov modeling with original variable definitions and 3 different variable relationships (graphical structures). We evaluate how well these models actually describe the student trajectories and try to use them to predict upcoming student …
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Mode identification using stochastic hybrid models with applications to conflict detection and resolution
… the domain of probabilistic hybrid phenomena. A hidden Markov model (HMM) has two stochastic components: a finite-state Markov chain and a finite set of output probability distributions. In other words an unobservable stochastic process (hidden) that can only be observed through another set of …
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Genetic effects on the temporal organization of connectome dynamics and associated cognitive functions
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Genetic effects on the temporal organization of connectome dynamics and associated cognitive functions
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms