activity
20152021
most citedGACELA -- A generative adversarial context encoder for long audio inpainting

55 citations · 152 across the 8 of their papers we have counts for

collaborators

9 papers

eess.AS2021★ 50 cited

A comparative study of eight human auditory models of monaural processing

Alejandro Osses Vecchi, Léo Varnet, Laurel H. Carney +4

A number of auditory models have been developed using diverging approaches, either physiological or perceptual, but they share comparable stages of signal processing, as they are i…

eess.SP2021★ 10 cited

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…

cs.SD2020★ 55 cited

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…

cs.SD2019★ 12 cited

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…

q-bio.NC2019

Formation of three-dimensional auditory space

Piotr Majdak, Robert Baumgartner, Claudia Jenny

Human listeners need to permanently interact with their three-dimensional (3-D) environment. To this end, they require efficient perceptual mechanisms to form a sufficiently accura…

cs.SD2018★ 9 cited

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…

cs.SD2016

Inpainting of long audio segments with similarity graphs

Nathanael Perraudin, Nicki Holighaus, Piotr Majdak +1

We present a novel method for the compensation of long duration data loss in audio signals, in particular music. The concealment of such signal defects is based on a graph that enc…

math.NA2016★ 16 cited

A-priori mesh grading for the numerical calculation of the head-related transfer functions

Harald Ziegelwanger, Wolfgang Kreuzer, Piotr Majdak

Head-related transfer functions (HRTFs) describe the directional filtering of the incoming sound caused by the morphology of a listener's head and pinnae. When an accurate model of…

cs.SD2015

Channel Interaction and Current Level Affect Across-Electrode Integration of Interaural Time Differences in Bilateral Cochlear-Implant Listeners

Katharina Egger, Piotr Majdak, Bernhard Laback

Sensitivity to ITDs is important for sound localization. Normal-hearing listeners benefit from across-frequency processing, as seen with improved ITD thresholds when consistent ITD…