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Acoustic Scene Classification For Mismatched Recording Devices Using Heated-Up Softmax And Spectrum Correction

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IEEE ICASSP 2020 Virtual Conference May 2020

Deep neural networks (DNNs) are successful in applications with matching inference and training distributions. In real-world scenarios, DNNs have to cope with truly new data samples during inference, potentially coming from a shifted data distribution. Th

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Acoustic Scene Classification For Mismatched Recording Devices Using Heated-Up Softmax And Spectrum Correction

00:14:28

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Deep neural networks (DNNs) are successful in applications with matching inference and training distributions. In real-world scenarios, DNNs have to cope with truly new data samples during inference, potentially coming from a shifted data distribution. Th

Acoustic Scene Classification For Mismatched Recording Devices Using Heated-Up Softmax And Spectrum Correction

00:14:28

0 views

Deep neural networks (DNNs) are successful in applications with matching inference and training distributions. In real-world scenarios, DNNs have to cope with truly new data samples during inference, potentially coming from a shifted data distribution. Th