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Rémi Mignot
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2020 – today
- 2022
- [i1]Daniel Wolff, Rémi Mignot, Axel Roebel:
Audio Defect Detection in Music with Deep Networks. CoRR abs/2202.05718 (2022) - 2021
- [c6]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:
The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications. AIAI 2021: 81-93 - [c5]Daniel Wolff, Rémi Mignot, Axel Roebel:
Audio Defect Detection in Music with Deep Networks. ISMIR 2021: 762-768
2010 – 2019
- 2019
- [j4]Rémi Mignot, Geoffroy Peeters:
An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task. Trans. Int. Soc. Music. Inf. Retr. 2(1): 97-110 (2019) - 2014
- [j3]Rémi Mignot, Gilles Chardon, Laurent Daudet:
Low Frequency Interpolation of Room Impulse Responses Using Compressed Sensing. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 205-216 (2014) - [c4]Rémi Mignot, Vesa Välimäki:
Perceptual Linear Filters: Low-Order ARMA Approximation for Sound Synthesis. DAFx 2014: 77-83 - [c3]Rémi Mignot, Vesa Välimäki:
True discrete cepstrum: An accurate and smooth spectral envelope estimation for music processing. ICASSP 2014: 7465-7469 - 2013
- [j2]Rémi Mignot, Laurent Daudet, François Ollivier:
Room Reverberation Reconstruction: Interpolation of the Early Part Using Compressed Sensing. IEEE Trans. Speech Audio Process. 21(11): 2301-2312 (2013) - [c2]Rémi Mignot, Vesa Välimäki:
Perceptual Cepstral filters for speech and music processing. WASPAA 2013: 1-4 - 2011
- [c1]Rémi Mignot, Laurent Daudet, François Ollivier:
Compressed sensing for acoustic response reconstruction: Interpolation of the early part. WASPAA 2011: 225-228 - 2010
- [j1]Rémi Mignot, Thomas Hélie, Denis Matignon:
Digital Waveguide Modeling for Wind Instruments: Building a State-Space Representation Based on the Webster-Lokshin Model. IEEE Trans. Speech Audio Process. 18(4): 843-854 (2010)
Coauthor Index
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