Cargando…
COVID-19 assessment using HMM cough recognition system
This paper is a part of our contributions to research on the ongoing COVID-19 pandemic around the world. This research aims to use Hidden Markov Model (HMM) based automatic speech recognition system to analyze the cough signal and determine whether the signal belongs to a sick or healthy speaker. We...
Autores principales: | Hamidi, Mohamed, Zealouk, Ouissam, Satori, Hassan, Laaidi, Naouar, Salek, Amine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595586/ https://www.ncbi.nlm.nih.gov/pubmed/36313860 http://dx.doi.org/10.1007/s41870-022-01120-7 |
Ejemplares similares
-
Analysis of COVID-19 Resulting Cough Using Formants and Automatic Speech Recognition System
por: Zealouk, Ouissam, et al.
Publicado: (2021) -
Human Activity Recognition with an HMM-Based Generative Model
por: Manouchehri, Narges, et al.
Publicado: (2023) -
HMM-Based Action Recognition System for Elderly Healthcare by Colorizing Depth Map
por: Htet, Ye, et al.
Publicado: (2022) -
HHsenser: exhaustive transitive profile search using HMM–HMM comparison
por: Söding, Johannes, et al.
Publicado: (2006) -
Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier
por: Abidine, M’hamed Bilal, et al.
Publicado: (2020)