2 code implementations • 25 Oct 2022 • Pavol Harar, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson
When given independent and identically distributed samples of some random variable $S$ and the continuous cumulative distribution function of some desired target $T$, it provably produces a consistent estimator of the transformation $R$ which satisfies $R(S)=T$ in distribution.
1 code implementation • 13 Jul 2019 • Stefan Lattner, Monika Dörfler, Andreas Arzt
Mapping signals onto complex basis functions learned by the CAE results in a transformation-invariant "magnitude space" and a transformation-variant "phase space".
2 code implementations • 21 Mar 2019 • Pavol Harar, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smekal
In this contribution we investigate how input and target representations interplay with the amount of available training data in a music information retrieval setting.
1 code implementation • 22 Jan 2019 • Anna Breger, Jose Ignacio Orlando, Pavol Harar, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
In two supervised learning problems, clinical image segmentation and music information classification, the application of our proposed augmented target loss functions increase the accuracy.
2 code implementations • 27 Jun 2017 • Roswitha Bammer, Monika Dörfler, Pavol Harar
By using a simple signal model for audio signals specific properties of Gabor scattering are studied.