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Low-complexity CNNs for Acoustic Scene Classification (2208.01555v1)
Published 2 Aug 2022 in eess.AS, cs.LG, and cs.SD
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.