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arXiv · 2208.01555

Low-complexity CNNs for Acoustic Scene Classification

Arshdeep Singh·James A King·Xubo Liu·Wenwu Wang·Mark D. Plumbley
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Abstract

This technical report describes the SurreyAudioTeam22s submission for DCASE 2022 ASC Task 1, Low-Complexity Acoustic Scene Classification (ASC). The task has two rules, (a) the ASC framework should have maximum 128K parameters, and (b) there should be a maximum of 30 millions multiply-accumulate operations (MACs) per inference. In this report, we present low-complexity systems for ASC that follow the rules intended for the task.

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Arshdeep Singh, James A King, Xubo Liu, Wenwu Wang, Mark D. Plumbley. 2022-08-02. Low-complexity CNNs for Acoustic Scene Classification. https://arxiv.org/abs/2208.01555

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