Low-complexity CNNs for Acoustic Scene Classification
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Abstract (arXiv)
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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References · 13
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- 2022Low-complexity acoustic scene classification in DCASE 2022 Challengecited by 11
- 2022QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient designcited by 10
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