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 …
Acoustic scene classification across cities and devices via feature disentanglement
Acoustic Scene Classification (ASC) is a task that classifies a scene according to
environmental acoustic signals. Audios collected from different cities and devices often …
environmental acoustic signals. Audios collected from different cities and devices often …
Robust federated learning against adversarial attacks for speech emotion recognition
Due to the development of machine learning and speech processing, speech emotion
recognition has been a popular research topic in recent years. However, the speech data …
recognition has been a popular research topic in recent years. However, the speech data …
Prototype learning for interpretable respiratory sound analysis
Remote screening of respiratory diseases has been widely studied as a non-invasive and
early instrument for diagnosis purposes, especially in the pandemic. The respiratory sound …
early instrument for diagnosis purposes, especially in the pandemic. The respiratory sound …
Deep mutual attention network for acoustic scene classification
Fusion strategies that utilize time-frequency features have achieved superior performance in
acoustic scene classification tasks. However, the existing fusion schemes are mainly …
acoustic scene classification tasks. However, the existing fusion schemes are mainly …
CNN-based acoustic scene classification system
Y Lee, S Lim, IY Kwak - Electronics, 2021 - mdpi.com
Acoustic scene classification (ASC) categorizes an audio file based on the environment in
which it has been recorded. This has long been studied in the detection and classification of …
which it has been recorded. This has long been studied in the detection and classification of …
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 …
Binaural acoustic scene classification using wavelet scattering, parallel ensemble classifiers and nonlinear fusion
The analysis of ambient sounds can be very useful when developing sound base intelligent
systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded …
systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded …
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 …
Low-complexity acoustic scene classification using data augmentation and lightweight ResNet
We present a work on low-complexity acoustic scene classification (ASC) with multiple
devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses …
devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses …