PHD THESIS
V. Bisot, « Apprentissage de représentations pour l’analyse de scènes sonores », PhD thesis, Télécom ParisTech, 2018. [PDF][Slides]
Journal articles and book chapters
R. Serizel, V. Bisot, S. Essid and G. Richard, “Acoustic Features for Environmental Sound Analysis,” in Computational Analysis of Sound Scenes and Events, 2018. [PDF]
V. Bisot, R. Serizel, S. Essid and G. Richard, “Acoustic scene classification with matrix factorization for unsupervised feature learning,” in IEEE Transactions on Audio, Speech, and Language Processing, 2017. [PDF]
Conference Papers
V. Bisot, R. Serizel, S. Essid and G. Richard, “Nonnegative feature learning methods for acoustic scene classification,” in Proc. DCASE workshop, 2017. [PDF][Video]
V. Bisot, R. Serizel, S. Essid and G. Richard, “Leveraging deep neural networks with nonnegative representations for improved environmental sound classification,” in Proc. of Workshop on Machine Learning for Signal Processing (MLSP), 2017. [PDF]
V. Bisot, R. Serizel, S. Essid and G. Richard, “Overlapping sound event detection with supervised nonnegative matrix factorization,” in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [PDF]
R. Serizel, V. Bisot, S. Essid and G. Richard, “Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification,” in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [PDF]
R. Serizel, V. Bisot, S. Essid and G. Richard, “Machine listening techniques as a complement to video image analysis in forensics,” in Proc. International Conference on Image Processing (ICIP), 2016. [PDF]
V. Bisot, R. Serizel, S. Essid and G. Richard, “Acoustic scene classification with matrix factorization for unsupervised feature learning,” in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [PDF]
V. Bisot, S. Essid and G. Richard, “HOG and Subband Power Distribution Image Features for Acoustic Scene Classification,” in Proc. European Signal Processing Conference (EUSIPCO), 2015. [PDF]
G. Peeters and V. Bisot, “Improving Music Structure Segmentation Using Lag-priors,” in Proc. International Society for Music In-formation Retrieval Conference (ISMIR), 2014. [PDF]
Technical report
V. Bisot, R. Serizel, S. Essid and G. Richard, “Supervised nonnegative matrix factorization for acoustic scene classification,” in IEE international evaluation campaign on detection and classification of acoustic scenes and events (DCASE 2016), 2016. [PDF][Results][Code]
Master’S Thesis
V. Bisot, “Segmentation temporelle et estimation de la structure musicale par utilisation de probabilité a priori de retard et DTW contraint,” Master’s thesis, ATIAM (UPMC / IRCAM / TELECOM ParisTech), 2014. [PDF]