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Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
[article]
2021
arXiv
pre-print
It is a practical research topic how to deal with multi-device audio inputs by a single acoustic scene classification system with efficient design. In this work, we propose Residual Normalization, a novel feature normalization method that uses frequency-wise normalization % instance normalization with a shortcut path to discard unnecessary device-specific information without losing useful information for classification. Moreover, we introduce an efficient architecture, BC-ResNet-ASC, a modified
arXiv:2111.06531v1
fatcat:4utau2k3fnb6pn6lguy5ajii3q