Introduces DCASE 2025 task providing device information at inference for low-complexity acoustic scene classification, with baseline accuracy of 50.72% improving to 51.89% via device-specific fine-tuning.
CP-JKU submission to DCASE22: Distilling knowledge for low-complexity convolutional neural networks from a patchout audio transformer,
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Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge
Introduces DCASE 2025 task providing device information at inference for low-complexity acoustic scene classification, with baseline accuracy of 50.72% improving to 51.89% via device-specific fine-tuning.