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ORCIDVictor Bisot
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2010 – 2019
- 2018
[b1]Victor Bisot:
Apprentissage de représentations pour l'analyse de scènes sonores. (Representation learning for acoustic scene analysis). Télécom ParisTech, France, 2018- 2017
- [j1]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1216-1229 (2017) - [c8]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE 2017: 22-26 - [c7]Victor Bisot, Slim Essid, Gaël Richard:
Overlapping sound event detection with supervised Nonnegative Matrix Factorization. ICASSP 2017: 31-35 - [c6]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification. ICASSP 2017: 36-40 - [c5]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification. MLSP 2017: 1-6 - 2016
- [c4]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Acoustic scene classification with matrix factorization for unsupervised feature learning. ICASSP 2016: 6445-6449 - [c3]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Machine listening techniques as a complement to video image analysis in forensics. ICIP 2016: 948-952 - 2015
- [c2]Victor Bisot, Slim Essid, Gaël Richard:
HOG and subband power distribution image features for acoustic scene classification. EUSIPCO 2015: 719-723 - 2014
- [c1]Geoffroy Peeters, Victor Bisot:
Improving Music Structure Segmentation using lag-priors. ISMIR 2014: 337-342
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