Computational analysis of sound scenes and events, 2018. ,
DOI : 10.1007/978-3-319-63450-0
Recurrent neural networks for polyphonic sound event detection in real life recordings, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6440-6444, 2016. ,
DOI : 10.1109/ICASSP.2016.7472917
Deep convolutional neural networks and data augmentation for acoustic event detection, Proc. INTERSPEECH, 2016. ,
Sound event detection in multichannel audio using spatial and harmonic features, 2017. ,
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.25, issue.6, pp.1291-1303, 2017. ,
DOI : 10.1109/TASLP.2017.2690575
Large-scale weakly supervised audio classification using gated convolutional neural network, Proc. DCASE, 2017. ,
Dcase 2017 challenge setup: Tasks, datasets and baseline system, Proc. DCASE, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01627981
Audio Set: An ontology and human-labeled dataset for audio events, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. ,
DOI : 10.1109/ICASSP.2017.7952261
Unsupervised feature learning for urban sound classification, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.171-175, 2015. ,
DOI : 10.1109/ICASSP.2015.7177954
Unsupervised learning of semantic audio representations, Proc. ICASSP, 2018. ,
Semi-supervised learning helps in sound event classification, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.333-336 ,
DOI : 10.1109/ICASSP.2012.6287884
Acoustic event detection method using semi-supervised non-negative matrix factorization with a mixture of local dictionaries, Proc. DCASE), 2016, pp.45-49 ,
An approach for self-training audio event detectors using web data, 2017 25th European Signal Processing Conference (EUSIPCO), pp.1863-1867, 2017. ,
DOI : 10.23919/EUSIPCO.2017.8081532
Audio event detection using multiple-input convolutional neural network, Proc. DCASE, pp.51-54, 2017. ,
Combining multi-scale features using sample-level deep convolutional neural networks for weakly supervised sound event detection, Proc. DCASE, pp.69-73, 2017. ,
Metrics for Polyphonic Sound Event Detection, Applied Sciences, vol.6913, issue.6, p.162, 2016. ,
DOI : 10.1109/TASL.2009.2032947