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Acoustic scene classification: A comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
A review of deep learning based methods for acoustic scene classification
The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …
recordings has constantly increased over the last few years. This was mainly stimulated by …
[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 …
Environment sound classification using an attention-based residual neural network
Complexity of environmental sounds impose numerous challenges for their classification.
The performance of Environmental Sound Classification (ESC) depends greatly on how …
The performance of Environmental Sound Classification (ESC) depends greatly on how …
A survey on preprocessing and classification techniques for acoustic scene
There are lots of research papers for ASC, and in recent years it is rapidly increasing.
DCASE also provides different types of competition for the submission of several papers to …
DCASE also provides different types of competition for the submission of several papers to …
RQNet: Residual quaternion CNN for performance enhancement in low complexity and device robust acoustic scene classification
Acoustic Scene Classification aims to recognize the unique acoustic characteristics of an
environment. Recently, Convolutional Neural Networks (CNNs) have boosted the accuracy …
environment. Recently, Convolutional Neural Networks (CNNs) have boosted the accuracy …
Example-based explanations with adversarial attacks for respiratory sound analysis
Respiratory sound classification is an important tool for remote screening of respiratory-
related diseases such as pneumonia, asthma, and COVID-19. To facilitate the interpretability …
related diseases such as pneumonia, asthma, and COVID-19. To facilitate the interpretability …
Interpreting glottal flow dynamics for detecting covid-19 from voice
In the pathogenesis of COVID-19, impairment of respiratory functions is often one of the key
symptoms. Studies show that in these cases, voice production is also adversely affected …
symptoms. Studies show that in these cases, voice production is also adversely affected …
Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
This article proposes an encoder-decoder network model for Acoustic Scene Classification
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
CAA-Net: Conditional atrous CNNs with attention for explainable device-robust acoustic scene classification
Acoustic Scene Classification (ASC) aims to classify the environment in which the audio
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …