Results 91 to 100 of about 60,493 (305)
Hidden Markov Models in Speech Recognition
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interface (HMI). By the voice control of machines, we usually deal with the recognition of commands from previously defined set.
Jan Krajcovic +2 more
doaj
Markov Observation Models and Deepfakes
Herein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj +1 more source
Objective Still disease represents a prototypical polygenic systemic autoinflammatory disease, characterized by recurrent systemic inflammation and dysregulation of innate immunity. Despite extensive clinical characterization, familial clustering Still disease remains unreported.
Longfang Chen +23 more
wiley +1 more source
Abstract Anatomy and physiology are foundational to health science education, yet student engagement in these modules often declines during later years of study. This discursive article aims to describe a teaching intervention which increased student engagement and provide educator reflection of implementation and improvement over time.
Nicolene Jooste, Asma Shaikh‐Kader
wiley +1 more source
Time series segmentation with shifting means hidden markov models [PDF]
We present a new family of hidden Markov models and apply these to the segmentation of hydrological and environmental time series. The proposed hidden Markov models have a discrete state space and their structure is inspired from the shifting means ...
Ath. Kehagias, V. Fortin
doaj
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins +9 more
wiley +1 more source
Computational Tonality Estimation: Signal Processing and Hidden Markov Models [PDF]
PhDThis thesis investigates computational musical tonality estimation from an audio signal. We present a hidden Markov model (HMM) in which relationships between chords and keys are expressed as probabilities of emitting observable chords from a hidden
Noland, Katy C
core
Using hidden Markov models to deal with availability bias on line transect surveys
This work was supported by EPSRC grant EP/I000917/1We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range.
Heide-Jorgensen, M. P. +14 more
core +1 more source
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
Constrained hidden Markov models for population-based haplotyping
Background Haplotype Reconstruction is the problem of resolving the hidden phase information in genotype data obtained from laboratory measurements. Solving this problem is an important intermediate step in gene association studies, which seek to uncover
Toivonen Hannu +4 more
doaj +1 more source

