55 citations · 86 across the 4 of their papers we have counts for
4 papers
Time-Frequency Phase Retrieval for Audio -- The Effect of Transform Parameters
Andrés Marafioti, Nicki Holighaus, Piotr Majdak
In audio processing applications, phase retrieval (PR) is often performed from the magnitude of short-time Fourier transform (STFT) coefficients. Although PR performance has been o…
GACELA -- A generative adversarial context encoder for long audio inpainting
Andres Marafioti, Piotr Majdak, Nicki Holighaus +1
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…
Adversarial Generation of Time-Frequency Features with application in audio synthesis
Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin +1
Time-frequency (TF) representations provide powerful and intuitive features for the analysis of time series such as audio. But still, generative modeling of audio in the TF domain…
Audio inpainting of music by means of neural networks
Andrés Marafioti, Nicki Holighaus, Piotr Majdak +1
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. We focused on gaps i…