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Paper detail

Low-complexity CNNs for Acoustic Scene Classification

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.

preprint2022arXivOpen access
Arshdeep SinghJames A KingXubo LiuWenwu WangMark D. Plumbley
eess.ASMachine LearningSound
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Arshdeep SinghJames A KingXubo LiuWenwu WangMark D. Plumbley

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