Detection and Classification of Acoustic Scenes and Events, IEEE Transactions on Multimedia, vol.17, issue.10, pp.1733-1746, 2015. ,
DOI : 10.1109/TMM.2015.2428998
URL : https://hal.archives-ouvertes.fr/hal-01253912
Audio-based context recognition, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.321-329, 2006. ,
DOI : 10.1109/TSA.2005.854103
Contextdependent sound event detection, EURASIP Journal on Audio, Speech, and Music Processing, vol.2013, pp.1687-4722, 2013. ,
Overlapping sound event recognition using local spectrogram features and the generalised hough transform, Pattern Recognition Letters, vol.34, issue.9, pp.1085-1093, 2013. ,
DOI : 10.1016/j.patrec.2013.02.015
An exemplar-based NMF approach to audio event detection, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013. ,
DOI : 10.1109/WASPAA.2013.6701847
URL : https://lirias.kuleuven.be/bitstream/123456789/414172/1/3640_final.pdf
Detection and classification of acoustic scenes and events: An IEEE AASP challenge, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013. ,
DOI : 10.1109/WASPAA.2013.6701819
URL : https://hal.archives-ouvertes.fr/hal-01123765
An MFCC-GMM approach for event detection and classification, IEEE AASP DCASE Challenge, 2013. ,
Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.151-155, 2015. ,
DOI : 10.1109/ICASSP.2015.7177950
Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2259-2263, 2016. ,
DOI : 10.1109/ICASSP.2016.7472079
Polyphonic sound event detection using multi label deep neural networks, 2015 International Joint Conference on Neural Networks (IJCNN), 2015. ,
DOI : 10.1109/IJCNN.2015.7280624
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
URL : http://arxiv.org/abs/1604.00861
Detection of overlapping acoustic events using a temporally-constrained probabilistic model, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6450-6454, 2016. ,
DOI : 10.1109/ICASSP.2016.7472919
URL : https://hal.archives-ouvertes.fr/hal-01255074
Characterisation of acoustic scenes using a temporally-constrained shift-invariant model, 15th International Conference on Digital Audio Effects (DAFx), pp.317-323, 2012. ,
Spectral vs. spectro-temporal features for acoustic event detection, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.69-72, 2011. ,
DOI : 10.1109/ASPAA.2011.6082331
Machine Learning: A Probabilistic Perspective, 2012. ,
A probabilistic latent variable model for acoustic modeling, Neural Information Processing Systems Workshop, 2006. ,
Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, pp.788-791, 1999. ,
Probabilistic Latent Variable Models as Nonnegative Factorizations, Computational Intelligence and Neuroscience, vol.59, issue.7, 2008. ,
DOI : 10.1038/381607a0
URL : http://doi.org/10.1155/2008/947438
Separation by “humming”: User-guided sound extraction from monophonic mixtures, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.69-72, 2009. ,
DOI : 10.1109/ASPAA.2009.5346542
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977. ,
Shift-invariant probabilistic latent component analysis Mitsubishi Electric Research Laboratories, Tech. Rep, pp.2007-2016, 2007. ,
Pattern Recognition and Machine Learning, 2006. ,
A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, pp.257-286, 1989. ,
A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960. ,
DOI : 10.1115/1.3662552
Non-negative dynamical system with application to speech and audio, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3158-3162, 2013. ,
DOI : 10.1109/ICASSP.2013.6638240
A State-Space Approach to Dynamic Nonnegative Matrix Factorization, IEEE Transactions on Signal Processing, vol.63, issue.4, pp.949-959, 2015. ,
DOI : 10.1109/TSP.2014.2385655
Frequency analysis and masking, " in Hearing ? Handbook of Perception and Cognition, pp.161-205, 1995. ,
Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.528-537, 2010. ,
DOI : 10.1109/TASL.2009.2034186
URL : https://hal.archives-ouvertes.fr/inria-00350163
Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.6, pp.1159-1169, 2011. ,
DOI : 10.1109/JSTSP.2011.2162395
URL : http://academiccommons.columbia.edu/download/fedora_content/download/ac:149158/CONTENT/GrindE11-eigeninst.pdf
Initializations for the nonnegative matrix factorization, International Conference on Knowledge Discovery and Data Mining, 2006. ,
A Morphological Model for Simulating Acoustic Scenes and Its Application to Sound Event Detection, Speech and Language Processing, 2016. ,
DOI : 10.1109/TASLP.2016.2587218
URL : https://hal.archives-ouvertes.fr/hal-01111381
Metrics for Polyphonic Sound Event Detection, Applied Sciences, vol.6913, issue.6, pp.2076-3417162, 2016. ,
DOI : 10.1109/TASL.2009.2032947
URL : http://doi.org/10.3390/app6060162
A non-negative framework for joint modeling of spectral structure and temporal dynamics in sound mixtures, 2010. ,