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eess.AS2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
Steffen Illium, Robert Müller, Andreas Sedlmeier +1
In many fields of research, labeled datasets are hard to acquire. This is where data augmentation promises to overcome the lack of training data in the context of neural network en…
eess.AS2020
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
Robert Müller, Fabian Ritz, Steffen Illium +1
In industrial applications, the early detection of malfunctioning factory machinery is crucial. In this paper, we consider acoustic malfunction detection via transfer learning. Con…