Wavelet scattering transform for multiclass support vector machines in audio devices classification system

CS Chin, J Zhang - 2021 IEEE/ASME International Conference …, 2021 - ieeexplore.ieee.org
This paper presents an acoustic device classification system using multiclass support vector
machines (MCSVM) on wavelet features. Using the MCSVM classifier that includes different …

Reverse Adversarial Attack To Enhance Environmental Sound Classification

AM Tripathi, SR Behera, K Paul - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Classification of environmental sounds becomes an essential unit for several applications
such as robot audition, audio-visual and ambient intelligent systems. Recent years have …

Max Fusing Gated Recurrent Units and Ensemble Classifier for Intelligent Acoustic Classification

CS Chin, S See - … IEEE/ACIS 22nd International Conference on …, 2022 - ieeexplore.ieee.org
The paper presents a wavelet scattering feature extraction using an averaged data
augmentation to include unseen devices in training. The multiple classifiers are applied to …

Late Fusion of Convolutional Neural Network with Wavelet-Based Ensemble Classifier for Acoustic Scene Classification

CS Chin, J Zhang - Intelligent Systems and Applications: Proceedings of …, 2022 - Springer
Log-Mel spectrogram for the convolutional neural network (CNN) and wavelet time
scattering for Ensemble of subspace discriminant classifiers is used for classifying acoustic …

ASC Model Based on Feature Stratification and Multichannel ECAP A-TDNN

A Xin, Z Haitao, Z Shuai - 2022 International Symposium on …, 2022 - ieeexplore.ieee.org
The input audio signal in the acoustic scene classification (ASC) task is composed of
multiple acoustic events superimposed on each other, leading to problems such as low …

[PDF][PDF] Acoustic Scene Classification with Device Mismatch Using Data Augmentation by Spectrum Correction

P Wang, Z Cheng, X Xu, X Hu - 2020 - dcase.community
This report describes the submissions by RoyalFlush of DCASE2020 task1a. Our aim is to
find an audio scene classification system that is robust against multiple devices. We use log …