Manuel Moussallam

According to our database, Manuel Moussallam authored at least 32 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences.

Kristina Matrosova, Manuel Moussallam, Thomas Louail, Olivier Bodini

Trans. Int. Soc. Music. Inf. Retr., January, 2024

Modeling Activity-Driven Music Listening with PACE.

Lilian Marey, Bruno Sguerra, Manuel Moussallam

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Understanding individual and collective diversity of cultural consumption through large-scale music listening events.

Harin Lee, Romain Hennequin, Manuel Moussallam

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

Explainability in Music Recommender Systems.

Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam

AI Mag., 2022

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain.

Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening.

Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart, Samuel Coavoux, Noé Latreille de Fozières, Brenda Le Bigot, Yann Renisio, Manuel Moussallam, Thomas Louail

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding.

Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis

Neural Networks, 2021

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ).

Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Follow the guides: disentangling human and algorithmic curation in online music consumption.

Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Hierarchical Latent Relation Modeling for Collaborative Metric Learning.

Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The Words Remain the Same: Cover Detection with Lyrics Transcription.

Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

User-centered evaluation of lyrics-to-audio alignment.

Ninon Lizé Masclef, Andrea Vaglio, Manuel Moussallam

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

Spleeter: a fast and efficient music source separation tool with pre-trained models.

Romain Hennequin, Anis Khlif, Félix Voituret, Manuel Moussallam

J. Open Source Softw., 2020

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding.

Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis

CoRR, 2020

Multilingual lyrics-to-audio alignment.

Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Audio-Based Detection of Explicit Content in Music.

Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Modeling the Music Genre Perception across Language-Bound Cultures.

Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Improving Collaborative Metric Learning with Efficient Negative Sampling.

Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis.

Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Disambiguating Music Artists at Scale with Audio Metric Learning.

Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Audio Based Disambiguation of Music Genre Tags.

Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

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

Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Codec independent lossy audio compression detection.

Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

Listening to features.

Manuel Moussallam, Antoine Liutkus, Laurent Daudet

CoRR, 2015

2014

Blind Denoising with Random Greedy Pursuits.

Manuel Moussallam, Alexandre Gramfort, Laurent Daudet, Gaël Richard

IEEE Signal Process. Lett., 2014

A general framework for dictionary based audio fingerprinting.

Manuel Moussallam, Laurent Daudet

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Matching Pursuits with random sequential subdictionaries.

Manuel Moussallam, Laurent Daudet, Gaël Richard

Signal Process., 2012

Random time-frequency subdictionary design for sparse representations with greedy algorithms.

Manuel Moussallam, Laurent Daudet, Gaël Richard

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Audio source separation informed by redundancy with greedy multiscale decompositions.

Manuel Moussallam, Gaël Richard, Laurent Daudet

Proceedings of the 20th European Signal Processing Conference, 2012

A framework for fingerprint-based detection of repeating objects in multimedia streams.

Sébastien Fenet, Manuel Moussallam, Yves Grenier, Gaël Richard, Laurent Daudet

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Audio Signal Representations for Factorization in the Sparse Domain.

Manuel Moussallam, Laurent Daudet, Gaël Richard

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Sound enhancement using sparse approximation with speclets.

Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz Sbai

Proceedings of the IEEE International Conference on Acoustics, 2010