We present a generative factor analyzed hidden Markov model (GFA-HMM) for automatic speech recognition. In a traditional HMM, the observation vectors are represented by mixture of Gaussians (MoG) that are dependent on discrete-valued hidden state sequence. The GFA-HMM introduces a hierarchy of continuousvalued latent representation of observation vectors, where latent vectors in one level are a...

∗ 0-7803-7952-7/03/$17.00  2003 IEEE. Abstract – A previous study successfully demonstrated the potential usefulness of Hidden Markov Model (HMM) analysis techniques in analyzing pilots’ eye-movement data to detect differences in scanning and attention patterns caused by display format changes. This paper focuses on assessing differences among pilots using the same display format. A flight sim...

The Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their ability to incorporate biological information in their structure. An automatic means of optimising the structure of HMMs would be highly desirable. To maintain biologically interpretable blocks inside the HMM, we used a Genetic Algorithm (GA) that has HMM blocks in its coding representation. We dev...

In this paper, we extend the maximum likelihood (ML) training algorithm to the minimum classification error (MCE) training algorithm for discriminatively estimating the state-dependent polynomial coefficients in the stochastic trajectory model or the trended hidden Markov model (HMM) originally proposed in [2]. The main motivation of this extension is the new model space for smoothness-constrai...

AIM: To conduct a classification study of high myopic maculopathy (HMM) using limited datasets, including tessellated fundus, diffuse chorioretinal atrophy, patchy and macular minimize annotation costs, to optimize the ALFA-Mix active learning algorithm apply it HMM classification. METHODS: The optimized (ALFA-Mix+) was compared with five algorithms, ALFA-Mix. Four models, ResNet18, were establ...

Human beatboxing is a vocal art making use of speech organs to produce drum sounds and imitate musical instruments. Beatbox sound classification current challenge that can be used for automatic database annotation music-information retrieval. In this study, large-vocabulary human-beatbox recognition system was developed with an adaptation Kaldi toolbox, widely-used tool recognition. The corpus ...

Hexamethylmelamine (HMM) is a cytotoxic agent demonstrated to have broad antitumor activity. Poor solubility in aqueous media has precluded significant evaluation of parenteral administration of this drug. A formulation of HMM dissolved in Intralipid has demonstrated excellent tolerance following parenteral administration. The goal of this study was to evaluate the pharmacology of HMM in Intral...

The development of convolution neural networks (CNNs) has become a significant means to solve the problem remote sensing scene image classification. However, well-performing CNNs generally have high complexity and are prone overfitting. To handle above problem, we present new classification approach using an mmsCNN–HMM combined model with stacking ensemble mechanism in this paper. First all, mo...

Designing a practical watermarking scheme with high robustness, feasible imperceptibility, and large capacity remains one of the most important research topics in robust watermarking. This paper presents a posterior hidden Markov model (HMM-) based informed image watermarking scheme, which well enhances the practicability of the prior-HMM-based informed watermarking with favorable robustness, i...