Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
L Pham, D Ngo, D Salovic, A Jalali, A Schindler… - Applied Acoustics, 2023 - Elsevier
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first
propose an inception-based and low-memory footprint ASC model as the ASC baseline. The
ASC baseline is then compared with benchmark and high-complexity network architectures.
Next, we improve the ASC baseline by proposing a novel deep neural network architecture
which leverages a residual-inception architecture and multiple kernels. Given the novel …
(ASC) and a visualization method for presenting a sound scene context. To this end, we first
propose an inception-based and low-memory footprint ASC model as the ASC baseline. The
ASC baseline is then compared with benchmark and high-complexity network architectures.
Next, we improve the ASC baseline by proposing a novel deep neural network architecture
which leverages a residual-inception architecture and multiple kernels. Given the novel …
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