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QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. (arXiv:2206.13909v1 [cs.SD])
June 29, 2022, 1:10 a.m. | Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
cs.LG updates on arXiv.org arxiv.org
This technical report describes the details of our TASK1A submission of the
DCASE2021 challenge. The goal of the task is to design an audio scene
classification system for device-imbalanced datasets under the constraints of
model complexity. This report introduces four methods to achieve the goal.
First, we propose Residual Normalization, a novel feature normalization method
that uses instance normalization with a shortcut path to discard unnecessary
device-specific information without losing useful information for
classification. Second, we design an efficient architecture, …
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