Aug 16, 2021 · In this paper, we have successively proposed two effective environmental sound classification frameworks based on sub-spectrogram segmentation ...
Jul 17, 2024 · In this paper, we firstly propose a sub-spectrogram segmentation with score level fusion based ESC classification framework, and we adopt the ...
Nov 3, 2021 · Experiments on the UrbanSound8K and ESC-50 dataset show that the accuracy of the proposed classification model is 93.1% and 84.4%, respectively, ...
High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism · Acoustic Scene Classification with ...
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High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism. Article. Full-text available. Aug ...
Apr 25, 2024 · High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism. Sensors 21(16) ...
Qiao et al. High accurate environmental sound classification: sub-spectrogram segmentation versus temporal-frequency attention mechanism. Sensors. (2021). A ...
High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism · Environmental Science, Computer ...
Nov 8, 2022 · High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism. Sensors. 2021 ...
Jan 5, 2023 · Cao, and S. Xu, ''High accurate environmental sound classification: Sub-spectrogram segmentation versus temporal-frequency attention ...