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Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Biometrics in the Era of COVID-19: Challenges and Opportunities
M Gomez-Barrero, P Drozdowski… - … on Technology and …, 2022 - ieeexplore.ieee.org
Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …
of daily life. A range of different measures have been implemented worldwide to reduce the …
[HTML][HTML] The use of audio signals for detecting covid-19: A systematic review
A systematic review on the topic of automatic detection of COVID-19 using audio signals
was performed. A total of 48 papers were obtained after screening 659 records identified in …
was performed. A total of 48 papers were obtained after screening 659 records identified in …
Supervised and self-supervised pretraining based COVID-19 detection using acoustic breathing/cough/speech signals
A rapid-accurate detection method for COVID-19 is rather important for avoiding its
pandemic. In this work, we propose a bi-directional long short-term memory (BiLSTM) …
pandemic. In this work, we propose a bi-directional long short-term memory (BiLSTM) …
Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
The technology development for point-of-care tests (POCTs) targeting respiratory diseases
has witnessed a growing demand in the recent past. Investigating the presence of acoustic …
has witnessed a growing demand in the recent past. Investigating the presence of acoustic …
COVID-19 detection using cough sound analysis and deep learning algorithms
Reliable and rapid non-invasive testing has become essential for COVID-19 diagnosis and
tracking statistics. Recent studies motivate the use of modern machine learning (ML) and …
tracking statistics. Recent studies motivate the use of modern machine learning (ML) and …
[HTML][HTML] A comprehensive survey on the biomedical signal processing methods for the detection of COVID-19
The novel coronavirus, renamed SARS-CoV-2 and most commonly referred to as COVID-19,
has infected nearly 44.83 million people in 224 countries and has been designated SARS …
has infected nearly 44.83 million people in 224 countries and has been designated SARS …
A Cough-based deep learning framework for detecting COVID-19
This paper presents a deep learning framework for detecting COVID-19 positive subjects
from their cough sounds. In particular, the proposed approach comprises two main steps. In …
from their cough sounds. In particular, the proposed approach comprises two main steps. In …
Exploring auditory acoustic features for the diagnosis of covid-19
The current outbreak of a coronavirus, has quickly escalated to become a serious global
problem that has now been declared a Public Health Emergency of International Concern by …
problem that has now been declared a Public Health Emergency of International Concern by …
Fusion of classical digital signal processing and deep learning methods (FTCAPPS)
The use of deep learning approaches in Signal Processing is finally showing a trend
towards a rational use. After an effervescent period where research activity seemed to focus …
towards a rational use. After an effervescent period where research activity seemed to focus …