Articles de journal

R. Hennequin, R. Badeau, B. David. "Beta-divergence as a subclass of Bregman divergence", IEEE Signal Processing Letters, vol. 18, no. 2, pp. 83-86, février 2011 [pdf], [bib]

R. Hennequin, R. Badeau, B. David. "NMF with time-frequency activations to model non stationary audio events", IEEE Transactions on Audio Speech and Language Processing vol. 19, no. 4, pp. 744-753, mai 2011 [pdf], [bib]

M. Rébillat, R. Hennequin, E. Corteel, B.F.G. Katz. "Identification of cascade of Hammerstein models for the description of non-linearities in vibrating devices", Journal of Sound and Vibration, Volume 330, Issue 5, Pages 1018-1038, février 2011 [pdf], [bib], [toolbox]

Articles de conférence

R. Hennequin, J. Royo-Letelier, M. Moussallam "Audio Based Disambiguation Of Music Genre Tags", ISMIR, Septembre 2018, Paris, France [pdf]

J. Royo-Letelier R. Hennequin V.-A. Tran, M. Moussallam "Disambiguating Music Artists At Scale With Audio Metric Learning", ISMIR, Septembre 2018, Paris, France [pdf]

R. Delbouys, R. Hennequin, F. Piccoli, J. Royo-Letelier, M. Moussallam "Music Mood Detection Based On Audio And Lyrics With Deep Neural Net", ISMIR, Septembre 2018, Paris, France [pdf]

R. Hennequin, J. Royo-Letelier, M. Moussallam. "Codec independent lossy audio compression detection", IEEE International Conference on Acoustics, Speech and Signal Processing, Mars 2017, New Orleans, LA, USA [pdf], [poster].

R. Hennequin, F. Rigaud. "Long-term reverberation modeling for under-determined audio source separation with application to vocal melody extraction", ISMIR, Aout 2016, New York, NY, USA [pdf].

S. Leglaive, R. Hennequin, R. Badeau. "Singing voice detection with deep recurrent neural networks", IEEE International Conference on Acoustics, Speech and Signal Processing, Avril 2015, Brisbane, Australie [pdf].

R. Hennequin, J.J. Burred, S. Maller, P. Leveau. "Speech-guided source separation using a pitch-adaptive guide signal model", IEEE International Conference on Acoustics Speech and Signal Processing, Mai 2014, Florence, Italie [pdf], [poster]

X. Jaureguiberry, G. Richard, P. Leveau, R. Hennequin. "Introducing a simple fusion framework for audio source separation", IEEE International Workshop on Machine Learning for Signal Processing, Septembre 2013, Southampton, Royaume-Uni [pdf]

R. Hennequin, R. Badeau, B. David. "Scale-invariant probabilistic latent component analysis", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Octobre 2011, New Paltz, New York [pdf], [page de démo], [bib]

R. Hennequin, B. David, R. Badeau. "Score informed audio source separation using a parametric model of non-negative spectrogram", IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Mai 2011, Prague, République Tchèque [pdf], [bib], [base de données], [présentation], [vidéo], [code]

B. David, R. Hennequin, J.-L. Durrieu, R. Badeau. "Including parametric models in spectrogram decomposition", 2nd Pan-American/Iberian Meeting on Acoustics, Novembre 2010, Cancun, Mexique

R. Hennequin, R. Badeau, B. David. "Time-dependent parametric and harmonic templates in non-negative matrix factorization", Proc. 13th International Conference on Digital Audio Effects (DAFx), septembre 2010, Graz, Autriche [pdf], [bib], [présentation]

M. Rébillat, R. Hennequin, E. Corteel, B. Katz. "Prediction of harmonic distortion generated by electro-dynamic loudspeakers using cascade of Hammerstein models", Proc. 128eme convention AES, Mai 2010, Londres, Royaume-uni. [pdf], [bib], [toolbox]

R. Hennequin, R. Badeau, B. David. "NMF with Time-frequency activations to model non stationary audio events", Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Mars 2010, Dallas, Tx. [pdf], [bib], [poster], [poster (version francaise)]

R. Hennequin, R. Badeau, B. David. "Spectral similarity measure invariant to pitch shifting and amplitude scaling", Proc. 10eme Congres Francais d'Acoustique, Avril 2010, Lyon, France. [pdf], [bib]

Rapports techniques

R. Hennequin, R. Badeau, B. David. "Scale-invariant probabilistic latent component analysis", rapport technique Telecom ParisTech, février 2011 [pdf]

Thèses

Thèse de doctorat (travaux effectués à Telecom ParisTech de 2008 à 2011) - Décomposition de spectrogrammes musicaux informé par des modèles de synthèse spectrale. [pdf]

Thèse de master (travaux effectués à Ultimate Sound Bank en 2008) - Mesure, Identification et Simulation de systèmes non-linéaires à mémoire : Vers un sampler d'effets. [pdf]

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