Cdnn-CRNN joined model for acoustic scene classification

Self-supervised learning for environmental sound classification

AM Tripathi, A Mishra - Applied Acoustics, 2021 - Elsevier
Abstract Environmental Sound Classification (ESC) is one of the most challenging tasks in
signal processing, digital forensic and machine learning. Numerous methods have been …
被引用次数：35 相关文章 所有 2 个版本

Environment sound classification using an attention-based residual neural network

AM Tripathi, A Mishra - Neurocomputing, 2021 - Elsevier
Complexity of environmental sounds impose numerous challenges for their classification.
The performance of Environmental Sound Classification (ESC) depends greatly on how …
被引用次数：33 相关文章 所有 2 个版本

Scattering transform of averaged data augmentation for ensemble random subspace discriminant classifiers in audio recognition

CS Chin, XY Kek, TK Chan - 2021 7th International Conference …, 2021 - ieeexplore.ieee.org
The paper presents an audio-based context recognition system using ensemble classifiers
with wavelet feature extraction. The device-wise classification accuracy can be achieved …
被引用次数：5 相关文章 所有 2 个版本

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 …
被引用次数：3 相关文章 所有 3 个版本