Rémi Mignot

12 papers C 2Misc 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 C conf
Invariant Audio Prints for Music Indexing and Alignment.
CBMI
Rémi Mignot, Geoffroy Peeters
2022 J jnl
Audio Defect Detection in Music with Deep Networks.
CoRR
Daniel Wolff, Rémi Mignot, Axel Roebel
2021 — conf
Audio Defect Detection in Music with Deep Networks.
ISMIR
Daniel Wolff, Rémi Mignot, Axel Roebel
2021 Misc conf
The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications.
AIAI
Filareti Tsalakanidou, Symeon Papadopoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Birgit Gray, Danae Tsabouraki, Maritini Kalogerini, Fulvio Negro, Maurizio Montagnuolo, Jesse de Vos, Philo van Kemenade, Daniele Gravina, Rémi Mignot, Alexey Ozerov, François Schnitzler, Artur García-Sáez, Georgios N. Yannakakis, Antonios Liapis, Georgi Kostadinov
2019 J jnl
An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task.
Trans. Int. Soc. Music. Inf. Retr.
Rémi Mignot, Geoffroy Peeters
2014 J jnl
Low Frequency Interpolation of Room Impulse Responses Using Compressed Sensing.
IEEE ACM Trans. Audio Speech Lang. Process.
Rémi Mignot, Gilles Chardon, Laurent Daudet
2014 C conf
Perceptual Linear Filters: Low-Order ARMA Approximation for Sound Synthesis.
DAFx
Rémi Mignot, Vesa Välimäki
2014 Misc conf
True discrete cepstrum: An accurate and smooth spectral envelope estimation for music processing.
ICASSP
Rémi Mignot, Vesa Välimäki
2013 — conf
Perceptual Cepstral filters for speech and music processing.
WASPAA
Rémi Mignot, Vesa Välimäki
2013 J jnl
Room Reverberation Reconstruction: Interpolation of the Early Part Using Compressed Sensing.
IEEE Trans. Speech Audio Process.
Rémi Mignot, Laurent Daudet, François Ollivier
2011 — conf
Compressed sensing for acoustic response reconstruction: Interpolation of the early part.
WASPAA
Rémi Mignot, Laurent Daudet, François Ollivier
2010 J jnl
Digital Waveguide Modeling for Wind Instruments: Building a State-Space Representation Based on the Webster-Lokshin Model.
IEEE Trans. Speech Audio Process.
Rémi Mignot, Thomas Hélie, Denis Matignon