Mel frequency cepstral coefficient and its applications: A review
ZK Abdul, AK Al-Talabani - IEEE Access, 2022 - ieeexplore.ieee.org
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …
widely used in our everyday lives in a number of ways. They have also been instrumental in …
[HTML][HTML] AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
A Imran, I Posokhova, HN Qureshi, U Masood… - Informatics in medicine …, 2020 - Elsevier
Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
We present an experimental investigation into the effectiveness of transfer learning and
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
AI-Based human audio processing for COVID-19: A comprehensive overview
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients
Capabilities in continuous monitoring of key physiological parameters of disease have never
been more important than in the context of the global COVID-19 pandemic. Soft, skin …
been more important than in the context of the global COVID-19 pandemic. Soft, skin …
Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices
G Peruzzi, A Pozzebon, M Van Der Meer - Sensors, 2023 - mdpi.com
Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …
An overview on audio, signal, speech, & language processing for COVID-19
G Deshpande, B Schuller - arXiv preprint arXiv:2005.08579, 2020 - arxiv.org
Recently, there has been an increased attention towards innovating, enhancing, building,
and deploying applications of speech signal processing for providing assistance and relief …
and deploying applications of speech signal processing for providing assistance and relief …