5 citations · 10 across the 3 of their papers we have counts for
3 papers
Improving Machine Hearing on Limited Data Sets
Pavol Harar, Roswitha Bammer, Anna Breger +2
Convolutional neural network (CNN) architectures have originated and revolutionized machine learning for images. In order to take advantage of CNNs in predictive modeling with audi…
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?
Monika Doerfler, Thomas Grill, Roswitha Bammer +1
When convolutional neural networks are used to tackle learning problems based on music or, more generally, time series data, raw one-dimensional data are commonly pre-processed to…
Gabor frames and deep scattering networks in audio processing
Roswitha Bammer, Monika Dörfler, Pavol Harar
This paper introduces Gabor scattering, a feature extractor based on Gabor frames and Mallat's scattering transform. By using a simple signal model for audio signals specific prope…