no code implementations • 4 Jan 2023 • Nicki Holighaus, Günther Koliander, Clara Hollomey, Friedrich Pillichshammer
The constant center frequency to bandwidth ratio (Q-factor) of wavelet transforms provides a very natural representation for audio data.
1 code implementation • 9 Jun 2021 • Andrés Marafioti, Nicki Holighaus, Piotr Majdak
To address this, we studied the performance of three PR algorithms for various types of audio content and various STFT parameters such as redundancy, time-frequency ratio, and the type of window.
2 code implementations • 11 May 2020 • Andres Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin
We introduce GACELA, a generative adversarial network (GAN) designed to restore missing musical audio data with a duration ranging between hundreds of milliseconds to a few seconds, i. e., to perform long-gap audio inpainting.
1 code implementation • 36th International Conference on Machine Learning 2019 • Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin, Piotr Majdak
We demonstrate the potential of deliberate generative TF modeling by training a generative adversarial network (GAN) on short-time Fourier features.
1 code implementation • 29 Oct 2018 • Andrés Marafioti, Nicki Holighaus, Piotr Majdak, Nathanaël Perraudin
We studied the ability of deep neural networks (DNNs) to restore missing audio content based on its context, a process usually referred to as audio inpainting.
no code implementations • 22 Jul 2016 • Nathanael Perraudin, Nicki Holighaus, Piotr Majdak, Peter Balazs
We present a novel method for the compensation of long duration data loss in audio signals, in particular music.
no code implementations • 8 Nov 2012 • Mario Hampejs, Nicki Holighaus, László Tóth, Christoph Wiesmeyr
We deduce a simple representation and the invariant factor decompositions of the subgroups of the group $\Bbb{Z}_m \times \Bbb{Z}_n$, where $m$ and $n$ are arbitrary positive integers.
Group Theory Combinatorics Number Theory 20K01, 20K27, 05A15, 11A25