Deep learning methods for heart sounds classification: a systematic review
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
A review of computer‐aided heart sound detection techniques
S Li, F Li, S Tang, W **ong - BioMed research international, 2020 - Wiley Online Library
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
Deep-net: A lightweight CNN-based speech emotion recognition system using deep frequency features
Artificial intelligence (AI) and machine learning (ML) are employed to make systems smarter.
Today, the speech emotion recognition (SER) system evaluates the emotional state of the …
Today, the speech emotion recognition (SER) system evaluates the emotional state of the …
Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals
The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organisation in March 2020 and has affected a growing number of people in the past few …
Organisation in March 2020 and has affected a growing number of people in the past few …
Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition
The automatic detection of an emotional state from human speech, which plays a crucial role
in the area of human-machine interaction, has consistently been shown to be a difficult task …
in the area of human-machine interaction, has consistently been shown to be a difficult task …
[HTML][HTML] Deep attention-based neural networks for explainable heart sound classification
Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …
health in daily life. There have been dramatically increasing demands from both the clinical …
Audio for audio is better? An investigation on transfer learning models for heart sound classification
Cardiovascular disease is one of the leading factors for death cause of human beings. In the
past decade, heart sound classification has been increasingly studied for its feasibility to …
past decade, heart sound classification has been increasingly studied for its feasibility to …
Comparison of feature extraction methods for sound-based classification of honey bee activity
A Terenzi, N Ortolani, I Nolasco… - … ACM transactions on …, 2021 - ieeexplore.ieee.org
Honey bees are one of the most important insects on the planet since they play a key role in
the pollination services of both cultivated and spontaneous flora. Recent years have seen an …
the pollination services of both cultivated and spontaneous flora. Recent years have seen an …
A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …