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 …
Hierarchical classification for acoustic scenes using deep learning
B Ding, T Zhang, G Liu, C Wang - Applied Acoustics, 2023 - Elsevier
Abstract Acoustic Scene Classification (ASC) aims to obtain the sound environment by
analyzing audio signals. Due to the low complexity and acquisition cost of audio signals …
analyzing audio signals. Due to the low complexity and acquisition cost of audio signals …
Performance Analysis of Acoustic Scene Classification Using ANN and CNN Techniques
K Karthik, AD Shetty, P Sowmya… - 2023 International …, 2023 - ieeexplore.ieee.org
Artificial neural networks have achieved notable improvements in various learning tasks and
have also been used to classify environmental sounds. The technique for allowing devices …
have also been used to classify environmental sounds. The technique for allowing devices …
Frequency-aware convolution for sound event detection
T Song - arXiv preprint arXiv:2403.13252, 2024 - arxiv.org
In sound event detection (SED), convolution neural networks (CNNs) are widely used to
extract time-frequency patterns from the input spectrogram. However, features extracted by …
extract time-frequency patterns from the input spectrogram. However, features extracted by …
A Resnet-Bilstm Model Fusion Strategy Based on Time Series Imaging for Aero-Engine Risk Assessment
X Gao, Y You, X Lu, G Liu - papers.ssrn.com
Abstract Quick Access Recorder (QAR) data is an important source of information for aero-
engine risk assessment. However, QAR data has the characteristics of high dimensionality …
engine risk assessment. However, QAR data has the characteristics of high dimensionality …