Mathieu Lagrange

110 papers A* 1C 3Misc 15Journal 44Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SCRAPL: Scattering Transform with Random Paths for Machine Learning. CoRR Christopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange
2025	—	`conf`	Diffusion-Based Spectral Super-Resolution of Third Octave Acoustic Sensor Data: Is Privacy at Risk ? EUSIPCO Modan Tailleur, Chaymae Benaatia, Mathieu Lagrange, Pierre Aumond, Vincent Tourre
2025	—	`conf`	Emergent musical properties of a transformer under contrastive self-supervised learning. ISMIR Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin
2025	J	`jnl`	Emergent musical properties of a transformer under contrastive self-supervised learning. CoRR Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin
2025	J	`jnl`	Enforcing Speech Content Privacy in Environmental Sound Recordings using Segment-wise Waveform Reversal. CoRR Modan Tailleur, Mathieu Lagrange, Pierre Aumond, Vincent Tourre
2025	—	`conf`	Gradient Clipping Improves Neural Network Optimization for Perceptual Sound Matching. EUSIPCO Han Han, Vincent Lostanlen, Mathieu Lagrange
2025	—	`conf`	Multi-Class-Token Transformer for Multitask Self-supervised Music Information Retrieval. WASPAA Yuexuan Kong, Vincent Lostanlen, Romain Hennequin, Mathieu Lagrange, Gabriel Meseguer-Brocal
2025	J	`jnl`	Multi-Class-Token Transformer for Multitask Self-supervised Music Information Retrieval. CoRR Yuexuan Kong, Vincent Lostanlen, Romain Hennequin, Mathieu Lagrange, Gabriel Meseguer-Brocal
2025	—	`conf`	Phoneme-Level Speech Intelligibility Reduction. EUSIPCO Aine Drelingyte, Romain Serizel, Mathieu Lagrange
2025	—	`conf`	Residual Hybrid Filterbanks. SSP Vincent Lostanlen, Xiran Zhang, Daniel Haider, Mathieu Lagrange, Martin Ehler, Peter Balazs
2025	Misc	`conf`	S-KEY: Self-supervised Learning of Major and Minor Keys from Audio. ICASSP Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin
2025	J	`jnl`	S-KEY: Self-supervised Learning of Major and Minor Keys from Audio. CoRR Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin
2025	J	`jnl`	Sound Scene Synthesis at the DCASE 2024 Challenge. CoRR Mathieu Lagrange, Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Brian McFee, Keisuke Imoto, Yuki Okamoto
2025	J	`jnl`	Understanding Equivariant Self-Supervised Learning in Musical Pitch Class Space. IEEE Signal Process. Lett. Vincent Lostanlen, Yuexuan Kong, Gabriel Meseguer-Brocal, Mathieu Lagrange, Romain Hennequin
2024	J	`jnl`	Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation. CoRR Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Mathieu Lagrange, Brian McFee, Keisuke Imoto, Yuki Okamoto
2024	J	`jnl`	Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant. CoRR Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto
2024	—	`conf`	Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent. EUSIPCO Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto
2024	—	`conf`	Detection of Deepfake Environmental Audio. EUSIPCO Hafsa Ouajdi, Oussama Hadder, Modan Tailleur, Mathieu Lagrange, Laurie M. Heller
2024	J	`jnl`	Detection of Deepfake Environmental Audio. CoRR Hafsa Ouajdi, Oussama Hadder, Modan Tailleur, Mathieu Lagrange, Laurie M. Heller
2024	J	`jnl`	EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal. CoRR Modan Tailleur, Julien Pinquier, Laurent Millot, Corsin Vogel, Mathieu Lagrange
2024	C	`conf`	Emvd Dataset: a Dataset of Extreme Vocal Distortion Techniques Used in Heavy Metal. CBMI Modan Tailleur, Julien Pinquier, Laurent Millot, Corsin Vogel, Mathieu Lagrange
2024	J	`jnl`	Learning to Solve Inverse Problems for Perceptual Sound Matching. IEEE ACM Trans. Audio Speech Lang. Process. Han Han, Vincent Lostanlen, Mathieu Lagrange
2024	—	`conf`	On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches. EUSIPCO Barbara Pascal, Mathieu Lagrange
2024	—	`conf`	STONE: Self-Supervised Tonality Estimator. ISMIR Yuexuan Kong, Vincent Lostanlen, Gabriel Meseguer-Brocal, Stella Wong, Mathieu Lagrange, Romain Hennequin
2024	J	`jnl`	STONE: Self-supervised Tonality Estimator. CoRR Yuexuan Kong, Vincent Lostanlen, Gabriel Meseguer-Brocal, Stella Wong, Mathieu Lagrange, Romain Hennequin
2024	J	`jnl`	Towards better visualizations of urban sound environments: insights from interviews. CoRR Modan Tailleur, Pierre Aumond, Vincent Tourre, Mathieu Lagrange
2023	J	`jnl`	Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model. CoRR Pierre-Amaury Grumiaux, Mathieu Lagrange
2023	J	`jnl`	Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model. EURASIP J. Audio Speech Music. Process. Pierre-Amaury Grumiaux, Mathieu Lagrange
2023	Misc	`conf`	Explainable audio Classification of Playing Techniques with Layer-wise Relevance Propagation. ICASSP Changhong Wang, Vincent Lostanlen, Mathieu Lagrange
2023	—	`conf`	Fitting Auditory Filterbanks with Multiresolution Neural Networks. WASPAA Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2023	J	`jnl`	Fitting Auditory Filterbanks with Multiresolution Neural Networks. CoRR Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2023	J	`jnl`	Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR Keunwoo Choi, Jaekwon Im, Laurie M. Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi
2023	J	`jnl`	Learning to Solve Inverse Problems for Perceptual Sound Matching. CoRR Han Han, Vincent Lostanlen, Mathieu Lagrange
2023	J	`jnl`	Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. CoRR Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen
2023	—	`conf`	Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange
2023	Misc	`conf`	Perceptual-Neural-Physical Sound Matching. ICASSP Han Han, Vincent Lostanlen, Mathieu Lagrange
2023	J	`jnl`	Perceptual-Neural-Physical Sound Matching. CoRR Han Han, Vincent Lostanlen, Mathieu Lagrange
2023	J	`jnl`	The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet Things J. Luca Turchet, Mathieu Lagrange, Cristina Rottondi, György Fazekas, Nils Peters, Jan Østergaard, Frederic Font, Tom Bäckström, Carlo Fischione
2022	J	`jnl`	Differentiable Time-Frequency Scattering in Kymatio. CoRR John Muradeli, Cyrus Vahidi, Changhong Wang, Han Han, Vincent Lostanlen, Mathieu Lagrange, George Fazekas
2022	—	`conf`	Exploring Eco-Acoustic Data with K-Determinantal Point Processes. DCASE Mohamed Outidrarine, Pierre Baudet, Vincent Lostanlen, Mathieu Lagrange, Juan Sebastian Ulloa
2022	—	`ed.`	Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022 DCASE Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gaël Richard, Romain Serizel, Dan Stowell
2021	—	`conf`	Energy Efficiency is Not Enough: Towards a Batteryless Internet of Sounds. Audio Mostly Conference Vincent Lostanlen, Antoine Bernabeu, Jean-Luc Béchennec, Mikaël Briday, Sébastien Faucou, Mathieu Lagrange
2021	J	`jnl`	Time-frequency scattering accurately models auditory similarities between instrumental playing techniques. EURASIP J. Audio Speech Music. Process. Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2020	Misc	`conf`	Bandwidth Extension of Musical Audio Signals With No Side Information Using Dilated Convolutional Neural Networks. ICASSP Mathieu Lagrange, Félix Gontier
2020	J	`jnl`	Low-Cost Sensors for Urban Noise Monitoring Networks - A Literature Review. Sensors Judicaël Picaut, Arnaud Can, Nicolas Fortin, Jeremy Ardouin, Mathieu Lagrange
2020	Misc	`conf`	Privacy Aware Acoustic Scene Synthesis Using Deep Spectral Feature Inversion. ICASSP Félix Gontier, Mathieu Lagrange, Catherine Lavandier, Jean-François Petiot
2020	J	`jnl`	The Internet of Audio Things: State of the Art, Vision, and Challenges. IEEE Internet Things J. Luca Turchet, György Fazekas, Mathieu Lagrange, Hossein Shokri Ghadikolaei, Carlo Fischione
2020	J	`jnl`	Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques. CoRR Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2019	—	`book`	Modélisation long terme de signaux sonores. Mathieu Lagrange
2018	J	`jnl`	Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. IEEE ACM Trans. Audio Speech Lang. Process. Annamaria Mesaros, Toni Heittola, Emmanouil Benetos, Peter Foster, Mathieu Lagrange, Tuomas Virtanen, Mark D. Plumbley
2018	J	`jnl`	Extended playing techniques: The next milestone in musical instrument recognition. CoRR Vincent Lostanlen, Joakim Andén, Mathieu Lagrange
2018	—	`conf`	Extended playing techniques: the next milestone in musical instrument recognition. DLfm Vincent Lostanlen, Joakim Andén, Mathieu Lagrange
2018	J	`jnl`	Relevance-based quantization of scattering features for unsupervised mining of environmental audio. EURASIP J. Audio Speech Music. Process. Vincent Lostanlen, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2018	—	`conf`	Towards perceptual soundscape characterization using event detection algorithms. DCASE Félix Gontier, Pierre Aumond, Mathieu Lagrange, Catherine Lavandier, Jean-François Petiot
2018	—	`conf`	Visualization of Audio Data Using Stacked Graphs. ISMIR Mathieu Lagrange, Mathias Rossignol, Grégoire Lafay
2017	J	`jnl`	An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach. Sensors Félix Gontier, Mathieu Lagrange, Pierre Aumond, Arnaud Can, Catherine Lavandier
2017	J	`jnl`	Polyphonic Sound Event Tracking Using Linear Dynamical Systems. IEEE ACM Trans. Audio Speech Lang. Process. Emmanouil Benetos, Grégoire Lafay, Mathieu Lagrange, Mark D. Plumbley
2017	J	`jnl`	Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results. CoRR Grégoire Lafay, Emmanouil Benetos, Mathieu Lagrange
2017	—	`conf`	Sound event detection in synthetic audio: Analysis of the dcase 2016 task results. WASPAA Grégoire Lafay, Emmanouil Benetos, Mathieu Lagrange
2016	J	`jnl`	A Morphological Model for Simulating Acoustic Scenes and Its Application to Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. Grégoire Lafay, Mathieu Lagrange, Mathias Rossignol, Emmanouil Benetos, Axel Roebel
2016	Misc	`conf`	Detection of overlapping acoustic events using a temporally-constrained probabilistic model. ICASSP Emmanouil Benetos, Grégoire Lafay, Mathieu Lagrange, Mark D. Plumbley
2016	—	`conf`	Estimating Traffic Noise Levels Using Acoustic Monitoring a Preliminary Study. DCASE Jean-Remy Gloaguen, Arnaud Can, Mathieu Lagrange, Jean-François Petiot
2016	—	`ed.`	Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2016, Budapest, Hungary, September 3, 2016 DCASE Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, Mark D. Plumbley, Peter Foster, Emmanouil Benetos, Mathieu Lagrange
2015	—	`conf`	Alternate level clustering for drum transcription. EUSIPCO Mathias Rossignol, Mathieu Lagrange, Grégoire Lafay, Emmanouil Benetos
2015	J	`jnl`	An evaluation framework for event detection using a morphological model of acoustic scenes. CoRR Mathieu Lagrange, Grégoire Lafay, Mathias Rossignol, Emmanouil Benetos, Axel Roebel
2015	—	`conf`	Classification of rainfall radar images using the scattering transform. EUSIPCO Gerard Busquets Garcia, Mathieu Lagrange, Isabelle Emmanuel, Hervé Andrieu
2015	J	`jnl`	Detection and Classification of Acoustic Scenes and Events. IEEE Trans. Multim. Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley
2015	Misc	`conf`	On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence. ICASSP Axel Roebel, Jordi Pons, Marco Liuni, Mathieu Lagrange
2014	J	`jnl`	The bag-of-frames approach: a not so sufficient model for urban soundscapes. CoRR Mathieu Lagrange, Grégoire Lafay, Boris Defreville, Jean-Julien Aucouturier
2013	—	`conf`	A database and challenge for acoustic scene classification and event detection. EUSIPCO Dimitrios Giannoulis, Dan Stowell, Emmanouil Benetos, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	—	`conf`	Detection and classification of acoustic scenes and events: An IEEE AASP challenge. WASPAA Dimitrios Giannoulis, Emmanouil Benetos, Dan Stowell, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	—	`conf`	Exploring new features for music classification. WIAMIS Rémi Foucard, Slim Essid, Gaël Richard, Mathieu Lagrange
2013	Misc	`conf`	Representing environmental sounds using the separable scattering transform. ICASSP Carlo Bauge, Mathieu Lagrange, Joakim Andén, Stéphane Mallat
2013	—	`conf`	Saliency-based modeling of acoustic scenes using sparse non-negative matrix factorization. WIAMIS Benjamin Cauchi, Mathieu Lagrange, Nicolas Misdariis, Arshia Cont
2013	J	`jnl`	Uncertainty-based learning of acoustic models from noisy data. Comput. Speech Lang. Alexey Ozerov, Mathieu Lagrange, Emmanuel Vincent
2012	Misc	`conf`	A regressive boosting approach to automatic audio tagging based on soft annotator fusion. ICASSP Rémi Foucard, Slim Essid, Mathieu Lagrange, Gaël Richard
2012	Misc	`conf`	Cluster aware normalization for enhancing audio similarity. ICASSP Mathieu Lagrange, Luis Gustavo Martins, George Tzanetakis
2012	—	`conf`	Robust Singer Identification in Polyphonic Music using Melody Enhancement and Uncertainty-based Learning. ISMIR Mathieu Lagrange, Alexey Ozerov, Emmanuel Vincent
2011	Misc	`conf`	Adaptive N-normalization for enhancing music similarity. ICASSP Mathieu Lagrange, George Tzanetakis
2011	Misc	`conf`	Drum extraction from polyphonic music based on a spectro-temporal model of percussive sounds. ICASSP François Rigaud, Mathieu Lagrange, Axel Röbel, Geoffroy Peeters
2011	J	`jnl`	Décompositions en éléments sonores et applications musicales. Traitement du Signal Mathieu Lagrange, Roland Badeau, Bertrand David, Nancy Bertin, Olivier Derrien, Sylvain Marchand, Laurent Daudet
2011	—	`conf`	Multi-scale temporal fusion by boosting for music classification. ISMIR Rémi Foucard, Slim Essid, Mathieu Lagrange, Gaël Richard
2010	J	`jnl`	Analysis/Synthesis of Sounds Generated by Sustained Contact Between Rigid Objects. IEEE Trans. Speech Audio Process. Mathieu Lagrange, Gary P. Scavone, Philippe Depalle
2010	J	`jnl`	Explicit modeling of temporal dynamics within musical signals for acoustical unit similarity. Pattern Recognit. Lett. Mathieu Lagrange, Martin Raspaud, Roland Badeau, Gaël Richard
2010	Misc	`conf`	Multimodal similarity between musical streams for cover version detection. ICASSP Rémi Foucard, Jean-Louis Durrieu, Mathieu Lagrange, Gaël Richard
2010	Misc	`conf`	Robust similarity metrics between audio signals based on asymmetrical spectral envelope matching. ICASSP Mathieu Lagrange, Roland Badeau, Gaël Richard
2010	J	`jnl`	Spectral similarity metrics for sound source formation based on the common variation cue. Multim. Tools Appl. Mathieu Lagrange, Martin Raspaud
2010	—	`conf`	Unsupervised Accuracy Improvement for Cover Song Detection Using Spectral Connectivity Network. ISMIR Mathieu Lagrange, Joan Serrà
2009	—	`conf`	Meter Class Profiles for Music Similarity and Retrieval. ISMIR Matthias Robine, Pierre Hanna, Mathieu Lagrange
2009	C	`conf`	Spectral Similarity Metrics for Sound Source Formation Based on the Common Variation Cue. CBMI Mathieu Lagrange, Martin Raspaud
2008	Misc	`conf`	A Computationally Efficient Scheme for Dominant Harmonic Source Separation. ICASSP Mathieu Lagrange, Luis Gustavo Martins, George Tzanetakis
2008	—	`conf`	Interoperability and the MARSYAS 0.2 Runtime. ICMC George Tzanetakis, Randy Jones, Carlos Castillo, Luis Gustavo Martins, Luís Filipe Teixeira, Mathieu Lagrange
2008	A*	`conf`	MarsyasX: multimedia dataflow processing with implicit patching. ACM Multimedia Luís Filipe Teixeira, Luis Gustavo Martins, Mathieu Lagrange, George Tzanetakis
2008	J	`jnl`	Normalized Cuts for Predominant Melodic Source Separation. IEEE Trans. Speech Audio Process. Mathieu Lagrange, Luis Gustavo Martins, Jennifer Murdoch, George Tzanetakis
2007	—	`conf`	A hand drumming Dataset for Physical Modeling. ICMC Randy Jones, Mathieu Lagrange, W. Andrew Schloss
2007	—	`conf`	Analysis of Saxophone Performance for Computer-Assisted Tutoring. ICMC Matthias Robine, Graham Percival, Mathieu Lagrange
2007	J	`jnl`	Enhancing the Tracking of Partials for the Sinusoidal Modeling of Polyphonic Sounds. IEEE Trans. Speech Audio Process. Mathieu Lagrange, Sylvain Marchand, Jean-Bernard Rault
2007	—	`conf`	ORCHIVE: Digitizing and Analyzing Orca Vocalizations. RIAO George Tzanetakis, Mathieu Lagrange, Paul Spong, Helena Symonds
2007	—	`conf`	Pedagogical Transcription for Multimodal Sitar Performance. ISMIR Ajay Kapur, Graham Percival, Mathieu Lagrange, George Tzanetakis
2007	—	`conf`	Polyphonic Instrument Recognition Using Spectral Clustering. ISMIR Luis Gustavo Martins, Juan José Burred, George Tzanetakis, Mathieu Lagrange
2007	—	`conf`	Scrime Studio Report. ICMC Myriam Desainte-Catherine, Sylvain Marchand, Pierre Hanna, Mathieu Lagrange, Matthias Robine, Martin Raspaud, Robert Strandh, Antoine Allombert, Guillaume Meurisse, Joan Mouba, Jean Louis Di Santo, Gyorgy Kurtag
2007	—	`conf`	Sound Source Tracking and Formation using Normalized Cuts. ICASSP (1) Mathieu Lagrange, George Tzanetakis
2007	C	`conf`	Speaker Segmentation of Interviews Using Integrated Video and Audio Change Detectors. CBMI Mathieu Lagrange, Luis Gustavo Martins, Luís Filipe Teixeira, George Tzanetakis
2006	—	`conf`	Evaluation of the Technical Leval of Saxophone Performers by Considering the Evolution of Spectral Parameters of the Sound. ISMIR Matthias Robine, Mathieu Lagrange
2006	—	`conf`	On the equivalence of phase-based methods for the estimation of instantaneous frequency. EUSIPCO Sylvain Marchand, Mathieu Lagrange
2005	—	`conf`	A New Dissimilarity Metric for the Clustering of partials using the Common variation Cue. ICMC Mathieu Lagrange
2005	—	`conf`	Scrime Studio Report. ICMC Myriam Desainte-Catherine, Pierre Hanna, Christophe Havel, Gyorgy Kurtag, Mathieu Lagrange, Sylvain Marchand, Edgar Nicouleau, Martin Raspaud, Matthias Robine, Robert Strandh
2005	—	`conf`	Tracking partials for the sinusoidal modeling of polyphonic sounds. ICASSP (3) Mathieu Lagrange, Sylvain Marchand, Jean-Bernard Rault
2004	—	`—`	Modélisation Sinusoïdale des Sons Polyphoniques. (Sinusoidal Modeling of Polyphonic Sounds). Mathieu Lagrange
2004	—	`conf`	Using linear prediction to enhance the tracking of partials [musical audio processing]. ICASSP (4) Mathieu Lagrange, Sylvain Marchand, Jean-Bernard Rault