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 …
[PDF][PDF] Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.
Knowledge Distillation (KD) is known for its ability to compress large models into low-
complexity solutions while preserving high predictive performance. In Acoustic Scene …
complexity solutions while preserving high predictive performance. In Acoustic Scene …
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 …
Data augmentation guided knowledge distillation for environmental sound classification
AM Tripathi, K Paul - Neurocomputing, 2022 - Elsevier
Environmental sound classification (ESC) is an increasingly relevant field of research in
recent years but has high computational overhead in its classification of environmental …
recent years but has high computational overhead in its classification of environmental …
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 …
Frequency-based CNN and attention module for acoustic scene classification
N Aryal, SW Lee - Applied Acoustics, 2023 - Elsevier
Acoustic scene classification (ASC) is an audio classification task that identifies the
environment in which sounds are recorded. Audio-related machine learning algorithms …
environment in which sounds are recorded. Audio-related machine learning algorithms …
On the impact of normalization strategies in unsupervised adversarial domain adaptation for acoustic scene classification
Acoustic scene classification systems face performance degradation when trained and
tested on data recorded by different devices. Unsupervised domain adaptation methods …
tested on data recorded by different devices. Unsupervised domain adaptation methods …
Unsupervised multi-target domain adaptation for acoustic scene classification
It is well known that the mismatch between training (source) and test (target) data distribution
will significantly decrease the performance of acoustic scene classification (ASC) systems …
will significantly decrease the performance of acoustic scene classification (ASC) systems …
Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network
This work is an improved system that we submitted to task 1 of DCASE2023 challenge. We
propose a method of low-complexity acoustic scene classification by a parallel attention …
propose a method of low-complexity acoustic scene classification by a parallel attention …