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.
Cite
@article{arxiv.2208.01555,
title = {Low-complexity CNNs for Acoustic Scene Classification},
author = {Arshdeep Singh and James A King and Xubo Liu and Wenwu Wang and Mark D. Plumbley},
journal= {arXiv preprint arXiv:2208.01555},
year = {2022}
}
Comments
Technical Report DCASE 2022 TASK 1. arXiv admin note: substantial text overlap with arXiv:2207.11529