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NMF with time-frequency activations to model non stationary audio events.

Romain Hennequin, Roland Badeau, Bertrand David: NMF with time-frequency activations to model non stationary audio events. ICASSP 2010: 445-448

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Scale-invariant probabilistic latent component analysis.

Romain Hennequin, Roland Badeau, Bertrand David: Scale-invariant probabilistic latent component analysis. WASPAA 2011: 129-132

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Score informed audio source separation using a parametric model of...

Romain Hennequin, Bertrand David, Roland Badeau: Score informed audio source separation using a parametric model of non-negative spectrogram. ICASSP 2011: 45-48

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NMF With Time-Frequency Activations to Model Nonstationary Audio Events.

Romain Hennequin, Roland Badeau, Bertrand David: NMF With Time-Frequency Activations to Model Nonstationary Audio Events. IEEE Trans. Speech Audio Process. 19(4): 744-753 (2011)

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Beta-Divergence as a Subclass of Bregman Divergence.

Romain Hennequin, Bertrand David, Roland Badeau: Beta-Divergence as a Subclass of Bregman Divergence. IEEE Signal Process. Lett. 18(2): 83-86 (2011)

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Décomposition de spectrogrammes musicaux informée par des modèles de synthèse...

Romain Hennequin: Décomposition de spectrogrammes musicaux informée par des modèles de synthèse spectrale. Modélisation des variations temporelles dans les éléments sonores. (Decomposition of musical...

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Introducing a simple fusion framework for audio source separation.

Xabier Jaureguiberry, Gaël Richard, Pierre Leveau, Romain Hennequin, Emmanuel Vincent: Introducing a simple fusion framework for audio source separation. MLSP 2013: 1-6

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Speech-guided source separation using a pitch-adaptive guide signal model.

Romain Hennequin, Juan José Burred, Simon Maller, Pierre Leveau: Speech-guided source separation using a pitch-adaptive guide signal model. ICASSP 2014: 6672-6676

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Singing voice detection with deep recurrent neural networks.

Simon Leglaive, Romain Hennequin, Roland Badeau: Singing voice detection with deep recurrent neural networks. ICASSP 2015: 121-125

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Long-Term Reverberation Modeling for Under-Determined Audio Source Separation...

Romain Hennequin, François Rigaud: Long-Term Reverberation Modeling for Under-Determined Audio Source Separation with Application to Vocal Melody Extraction. ISMIR 2016: 206-210

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Codec independent lossy audio compression detection.

Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam: Codec independent lossy audio compression detection. ICASSP 2017: 726-730

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Disambiguating Music Artists at Scale with Audio Metric Learning.

Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam: Disambiguating Music Artists at Scale with Audio Metric Learning. CoRR abs/1810.01807 (2018)

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Music Mood Detection Based On Audio And Lyrics With Deep Neural Net.

Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam: Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. CoRR abs/1809.07276 (2018)

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Audio Based Disambiguation Of Music Genre Tags.

Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam: Audio Based Disambiguation Of Music Genre Tags. CoRR abs/1809.07256 (2018)

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Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata,...

Albin Andrew Correya, Romain Hennequin, Mickaël Arcos: Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features. CoRR abs/1808.10351 (2018)

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Audio Based Disambiguation of Music Genre Tags.

Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam: Audio Based Disambiguation of Music Genre Tags. ISMIR 2018: 645-652

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Disambiguating Music Artists at Scale with Audio Metric Learning.

Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam: Disambiguating Music Artists at Scale with Audio Metric Learning. ISMIR 2018: 622-629

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Music Mood Detection Based on Audio and Lyrics with Deep Neural Net.

Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam: Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. ISMIR 2018: 370-375

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Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks.

Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis: Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. CoRR abs/1910.00942 (2019)

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Improving Collaborative Metric Learning with Efficient Negative Sampling.

Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam: Improving Collaborative Metric Learning with Efficient Negative Sampling. CoRR abs/1909.10912 (2019)

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