Results 141 to 150 of about 8,159 (239)

A Geometric Interpretation Of Hidden Markov Model

, 1994
In this paper, we investigate the relationship between speech trajectories and the hidden Markov model. The speech utterances were transformed into speech feature vectors and the trajectories displayed on a two dimensional space. The hidden Markov models
Roberto Togneri, Chee Wee Loke
core  

A zero-inflated hidden semi-Markov model with covariate-dependent sojourn parameters for analysing marine data in the Venice lagoon

This paper introduces a concomitant-variable hidden semi-Markov model tailored to analyze marine count data in the Venice lagoon. Our model targets {\it acqua alta} events, i.e the exceedances of flooding limits, addressing the prevalent zero counts ...
Picone, Marco, Pollice, Alessio, Maruotti, Antonello, Ricciotti, Lorena   +3 more
core   +1 more source

Integrating enhanced feature fusion with adaptive hidden semi-markov model and deep neural network for robust deepfake detection in Internet of Things-based edge computing environments

Journal of King Saud University: Computer and Information Sciences
The increasing convergence of Internet of Things (IoT) devices and edge computing platforms in current digital networks has presented extraordinary opportunities.
Jawhara Aljabri
doaj   +1 more source

biomvRhsmm: Genomic Segmentation with Hidden Semi-Markov Model

, 2020
High-throughput technologies like tiling array and next-generation sequencing (NGS) generate continuous homogeneous segments or signal peaks in the genome that represent transcripts and transcript variants (transcript mapping and quantification), regions
Eduard Murani, Siriluck Ponsuksili, Klaus Wimmers, Yang Du   +3 more
core  

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

A Hidden Markov Renewal Model

, 2018
Hidden semi-Markov models (HSMMs) are a powerful class of statistical model that have been applied to a wide range of areas such as speech recognition, protein structure prediction, Internet-traffic modeling, financial time-series modeling, and ...
Preston, Benjamin 1981-
core  

Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models

, 2010
Hidden Markov model (HMM) -based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...

core  

The 'aukward' use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks. [PDF]

Mov Ecol
Dedieu A, Cox SL, Darby J, Clairbaux M, Jessopp M.   +4 more
europepmc   +1 more source

A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention. [PDF]

Med Decis Making
Akwiwu EU, Coupé VMH, Berkhof J, Klausch T.   +3 more
europepmc   +1 more source