Membre

Fiche Membre

En un clic !

Thématiques de recherche
Pôles d’expertises
Nos équipes
Formation par la recherche
- Doctorats
- Masters
HDR
Thèses
Publications

Composante(s) d’expertise Pôle associée(s)

SIEL

Analyse et fusion de donnéesIA et apprentissage statistiqueTraitement de signaux, d’images et du langage

Expertises équipes

Approches de segmentationExtraire l’informationMéthodes d’amélioration d’imagesModéliser et optimiser l'informationOrienter le processus d’optimisation

Mathieu Lagrange

HDR

Chercheur.euse – Directeur / directrice de recherche

Equipe : SIMS

Employeur : Centre National de la Recherche Scientifique

Expertises :

Coordonnées

Email :

Adresse(s)

Informations non disponibles pour l’instant

Publications déposées sur HAL

Nombre de publications retournées : 145

Revues internationales avec comité de lecture

[1] M. Lagrange, S. Marchand, J. Rault. Long Interpolation of Audio Signals Using Linear Prediction in Sinusoidal Modeling, in Journal of the Audio Engineering Society, vol. 53, pp. 891–905,

[2] M. Lagrange, S. Marchand. Estimating the Instantaneous Frequency of Sinusoidal Components Using Phase-Based Methods, in Journal of the Audio Engineering Society, vol. 55, pp. 385–399,

[3] M. Lagrange, S. Marchand, J. Rault. Enhancing the Tracking of Partials for the Sinusoidal Modeling of Polyphonic Sounds, in IEEE Transactions on Audio, Speech and Language Processing, vol. 15, pp. 1625–1634,

[4] M. Lagrange, L. Martins, J. Murdoch, G. Tzanetakis. Normalized cuts for predominant melodic source separation, in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 16, no. 2,

[5] M. Lagrange, M. Raspaud, R. Badeau, G. Richard. Explicit Modeling of Temporal Dynamics within Musical Signals for Acoustical Unit Formation and Similarity, in Pattern Recognition Letters, vol. 31, no. 12, pp. 1498–1506,

[6] M. Lagrange, M. Raspaud. Spectral similarity metrics for sound source formation based on the common variation cue, in Multimedia Tools and Applications, pp. 185-205,

[7] A. Ozerov, M. Lagrange, E. Vincent. Uncertainty-based learning of acoustic models from noisy data, in Computer Speech and Language, vol. 27, no. 3, pp. 874-894, DOI

[8] D. Stowell, D. Giannoulis, E. Benetos, M. Lagrange, M. Plumbley. Detection and Classification of Acoustic Scenes and Events, in IEEE Transactions on Multimedia, vol. 17, no. 10, DOI

[9] M. Lagrange, G. Lafay, B. Defreville, J. Aucouturier. The bag-of-frames approach: a not so sufficient model for urban soundscapes, in Journal of the Acoustical Society of America, vol. 138, no. 5, pp. 487-492,

[10] G. Lafay, M. Lagrange, M. Rossignol, E. Benetos, A. Roebel. A morphological model for simulating acoustic scenes and its application to sound event detection, in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 10, pp. 1854-1864, DOI

[11] G. Lafay, N. Misdariis, M. Lagrange, M. Rossignol. Semantic browsing of sound databases without keywords, in Journal of the Audio Engineering Society, vol. 64, no. 9, pp. 628-635,

[12] F. Gontier, M. Lagrange, P. Aumond, A. Can, C. Lavandier. An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach, in Sensors, vol. 17, no. 12, pp. 2758, DOI

[13] E. Benetos, G. Lafay, M. Lagrange, M. Plumbley. Polyphonic Sound Event Tracking using Linear Dynamical Systems, in IEEE Transactions on Audio, Speech and Language Processing, vol. 25, no. 6, pp. 1266-1277, DOI

[14] M. Lagrange, H. Andrieu, I. Emmanuel, G. Busquets, S. Loubrie. Classification of rainfall radar images using the scattering transform, in Journal of Hydrology, vol. 556, pp. 972-979, DOI

[15] A. Mesaros, T. Heittola, E. Benetos, P. Foster, M. Lagrange, T. Virtanen, M. Plumbley. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge, in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 2, pp. 379-393, DOI

[16] M. Rossignol, M. Lagrange, A. Cont. Efficient similarity-based data clustering by optimal object to cluster reallocation, in PLoS ONE, vol. 13, no. 6, DOI

[17] V. Lostanlen, G. Lafay, J. Andén, M. Lagrange. Relevance-based quantization of scattering features for unsupervised mining of environmental audio, in EURASIP Journal on Audio, Speech, and Music Processing, vol. 2018, no. 1, DOI

[18] F. Gontier, C. Lavandier, P. Aumond, M. Lagrange, J. Petiot. Estimation of the perceived time of presence of sources in urban acoustic environments using deep learning techniques, in Acta Acustica united with Acustica, vol. 105, no. 6, pp. 1053-1066, DOI

[19] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Road traffic sound level estimation from realistic urban sound mixtures by Non-negative Matrix Factorization, in Applied Acoustics, no. 143, pp. 229-238, DOI

[20] G. Lafay, M. Rossignol, N. Misdariis, M. Lagrange, J. Petiot. Investigating soundscapes perception through acoustic scenes simulation, in Behavior Research Methods, vol. 51, no. 2, pp. 532-555,

[21] V. Lostanlen, J. Andén, M. Lagrange. Fourier at the heart of computer music: From harmonic sounds to texture, in Comptes Rendus. Physique, DOI

[22] J. Picaut, A. Can, N. Fortin, J. Ardouin, M. Lagrange. Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review, in Sensors, vol. 20, no. 8, DOI

[23] C. Fischione, L. Turchet, G. Fazekas, M. Lagrange, H. Ghadikolaei. The Internet of Audio Things: state-of-the-art, vision, and challenges, in IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10233-10249, DOI

[24] V. Lostanlen, C. El-Hajj, M. Rossignol, G. Lafay, J. Andén, M. Lagrange. Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques, in EURASIP Journal on Audio, Speech, and Music Processing, vol. 1, no. 1, pp. 1-21, DOI

[25] F. Gontier, V. Lostanlen, N. Fortin, M. Lagrange, C. Lavandier, J. Petiot. Polyphonic training set synthesis improves self-supervised urban sound classification, in Journal of the Acoustical Society of America, DOI

[26] P. Aumond, A. Can, F. Gontier, C. Lavandier, M. Lagrange. Multidimensional analyses of the noise impacts of COVID-19 lockdown, in Journal of the Acoustical Society of America, vol. 151, no. 2, pp. 911 – 923, DOI

[27] B. Hilloulin, M. Lagrange, M. Duvillard, G. Garioud. ε-greedy automated indentation of cementitious materials for phase mechanical properties determination, in Cement and Concrete Composites, vol. 129, DOI

[28] T. Souaille, J. Petiot, N. Misdariis, M. Lagrange. An interactive bi-objective optimisation process to guide the design of electric vehicle warning sounds, in Design Science, vol. 8, pp. e26, DOI

[29] L. Turchet, M. Lagrange, C. Rottondi, G. Fazekas, N. Peters, J. Ostergaard, F. Font, T. Backstrom, C. Fischione. The Internet of Sounds: Convergent Trends, Insights and Future Directions, in IEEE Internet of Things Journal, DOI

[30] C. Vahidi, H. Han, C. Wang, M. Lagrange, G. Fazekas, V. Lostanlen. Mésostructures : au-delà de la perte spectrale en analyse temps-fréquence différentiable, in Journal of the Audio Engineering Society, vol. 71, no. 9, pp. 577-585,

[31] P. Grumiaux, M. Lagrange. Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model, in EURASIP Journal on Audio, Speech, and Music Processing, DOI

[32] A. Souaille, V. Lostanlen, M. Lagrange, N. Misdariis, J. Petiot. Acoustical and behavioral heuristics for fast interactive sound design, in PLoS ONE, vol. 19, no. 1, pp. e0296347, DOI

[33] N. Misdariis, M. Lagrange, R. Serizel. Reducing noise with augmented reality in indoor soundscapes, in Journal of the Acoustical Society of America, vol. 155, no. 3_Supplement, pp. A179-A179, DOI

[34] H. Han, V. Lostanlen, M. Lagrange. Learning to Solve Inverse Problems for Perceptual Sound Matching, in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 32, pp. 2605-2615, DOI

[35] M. Tailleur, P. Aumond, M. Lagrange, V. Tourre. Sound source classification for soundscape analysis using fast third-octave bands data from an urban acoustic sensor network, in Journal of the Acoustical Society of America, vol. 156, no. 1, pp. 416-427, DOI

[36] V. Lostanlen, Y. Kong, G. Meseguer-Brocal, M. Lagrange, R. Hennequin. Understanding Equivariant Self-Supervised Learning in Musical Pitch Class Space, in IEEE Signal Processing Letters,

Revues nationales avec comité de lecture

[37] M. Lagrange, G. Scavone, P. Depalle. Analysis / Synthesis of Sounds Generated by Sustained Contact between Rigid Objects, in IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 3, pp. 509-518,

[38] E. Murphy, M. Lagrange, G. Scavone, P. Depalle, C. Guastavino. Perceptual Evaluation of Rolling Sound Synthesis, in Acta Acustica united with Acustica, vol. 5, no. 97, pp. 840-851, DOI

[39] M. Lagrange, R. Badeau, B. David, N. Bertin, O. Derrien, S. Marchand, L. Daudet. Décompositions en éléments sonores et applications musicales, in Traitement du Signal, vol. 28, no. 6, pp. 665-689,

[40] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Reconnaissance et estimation du bruit de trafic dans l’environnement urbain, in Acoustique et Techniques : trimestriel d'information des professionnels de l'acoustique, vol. 86-87, pp. 54-60,

Conférences internationales avec comité de lecture et actes

[41] M. Lagrange, S. Marchand, J. Rault. Partial Tracking Based on Future Trajectories Exploration, in 116-th Convention of the AES, Allemagne,

[42] M. Desainte-Catherine, P. Hanna, C. Havel, G. Kurtag, M. Lagrange, S. Marchand, E. Nicouleau, M. Raspaud, M. Robine, R. Strandh. , in International Computer Music Conference (ICMC), Espagne,

[43] M. Lagrange, J. Murdoch, G. Tzanetakis. Temporal Constraints for Sound Source Formation using the Normalized Cut, in Neural Information Processing systems (NIPS), workshop on Advances in Models for Acoustic Processing, Vancouver, Canada,

[44] M. Lagrange, S. Marchand. Assessing the Quality of the Extraction and Tracking of Sinusoidal Components: Towards an Evaluation Methodology, in Proceedings of the Digital Audio Effects (DAFx06) Conference, Canada,

[45] E. Murphy, M. Lagrange, G. Scavone, P. Depalle, C. Guastavino. Perceptual Evaluation of a Real-time Synthesis Technique for Rolling Sounds, in Conference on Enactive Interfaces, Grenoble, France,

[46] G. Tzanetakis, R. Jones, C. Castillo, L. Martins, L. Teixeira, M. Lagrange. Interoperability And The Marsyas 0.2 Runtime, in ICMC, Belfast, Irlande,

[47] M. Lagrange, B. Scherrer. Two-Step Modal Identification For Increased Resolution Analysis Of Percussive Sounds, in DAFX, Espoo, Finlande,

[48] M. Lagrange, G. Scavone, P. Depalle. Time-Domain Analysis / Synthesis Of The Excitation Signal In A Source / Filter Model Of Contact Sounds, in ICAD, Paris, France,

[49] M. Lagrange, L. Martins, G. Tzanetakis. A Computationally Efficient Scheme for Dominant Harmonic Source Separation, in ICASSP, Las Vegas, états-Unis, DOI

[50] M. Lagrange, N. Whetsell, P. Depalle. On The Control Of The Phase Of Resonant Filters With Applications To Percussive Sound Modelling, in DAFX, Espoo, Finlande,

[51] L. Teixeira, L. Martins, M. Lagrange, G. Tzanetakis. MarsyasX : Multimédia Datflow Processing vith Implicit Patching, in Proceeding of the 16th ACM international conference, Vancouver, France, DOI

[52] M. Robine, P. Hanna, M. Lagrange. Meter Class Profiles for Music Similarity and Retrieval, in International Society for Music Information Retrieval Conference (ISMIR), Kobe, Japon,

[53] M. Lagrange, R. Badeau, G. Richard. Robust similarity metrics between audio signals based on asymmetrical spectral envelope matching, in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, Texas, états-Unis,

[54] R. Foucard, J. Durrieu, M. Lagrange, G. Richard. Multimodal similarity between musical streams for cover version detection, in IEEE ICASSP, Dallas, états-Unis, DOI

[55] M. Lagrange, R. Badeau, B. David, N. Bertin, J. Echeveste, O. Derrien, S. Marchand, L. Daudet. The DESAM toolbox: spectral analysis of musical audio, in International Conference on Digital Audio Effects (DAFx), Graz, Autriche,

[56] R. Foucard, S. Essid, M. Lagrange, G. Richard. Multi-scale temporal fusion by boosting for music classification, in ISMIR, Miami, états-Unis,

[57] M. Lagrange, G. Tzanetakis. Adaptive N-normalization for enhancing music similarity, in IEEE ICASSP, Prague, République tchèque, DOI

[58] A. Ozerov, M. Lagrange, E. Vincent. GMM-based classification from noisy features, in International Workshop on Machine Listening in Multisource Environments (CHiME 2011), Florence, Italie,

[59] M. Lagrange, L. Martins, G. Tzanetakis. Cluster aware normalization for enhancing audio similarity, in IEEE ICASSP, Las Vegas, états-Unis,

[60] R. Foucard, S. Essid, M. Lagrange, G. Richard. A regressive boosting approach to automatic audio tagging based on soft annotator fusion, in IEEE ICASSP, Kyoto, Japon, DOI

[61] B. Cauchi, M. Lagrange, N. Misdariis, A. Cont. Sparse representations for modeling environmental acoustic scenes, application to train stations soundscapes, in Acoustics 2012, Nantes, France,

[62] E. Benetos, M. Lagrange, S. Dixon. Characterisation of Acoustic Scenes using a Temporally Constrained Shit-Invariant Model, in DAFx, York, Royaume-Uni,

[63] M. Lagrange, A. Ozerov, E. Vincent. Robust singer identification in polyphonic music using melody enhancement and uncertainty-based learning, in 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal,

[64] R. Foucard, S. Essid, M. Lagrange, G. Richard. Etiquetage automatique de l'audio : une approche de boosting régressif basée sur une fusion souple d'annotateurs, in Coresa, NA, France,

[65] C. Baugé, M. Lagrange, J. Andén, S. Mallat. Representing environmental sounds using the separable scattering transform, in ICASSP, Vancouver, Canada, DOI

[66] B. Cauchi, M. Lagrange, N. Misdariis, A. Cont. Saliency-based modeling of acoustic scenes using sparse non-negative matrix factorization, in Workshop on Image and Audio Analysis for Multimedia Interactive, Paris, France,

[67] R. Foucard, S. Essid, G. Richard, M. Lagrange. Exploring new features for music classification, in WIAMIS, Paris, France, DOI

[68] D. Giannoulis, D. Stowell, E. Benetos, M. Rossignol, M. Lagrange, M. Plumbley. A Database and Challenge for Acoustic Scene !classification and Event Detection, in EUSIPCO, Marrakech, Maroc,

[69] D. Giannoulis, E. Benetos, D. Stowell, M. Rossignol, M. Lagrange, M. Plumbley. Detection and classification of acoustic scenes and events: An IEEE AASP challenge, in IEEE WASPAA, New Paltz, états-Unis, DOI

[70] G. Lafay, M. Rossignol, N. Misdariis, M. Lagrange, J. Petiot. A New Experimental Approach for Urban Soundscape Characterization Based on Sound Manipulation : A Pilot Study, in International Symposium on Musical Acoustics, Le Mans, France,

[71] M. Rossignol, G. Lafay, M. Lagrange, N. Misdariis. SimScene : a web-based acoustic scenes simulator, in 1st Web Audio Conference (WAC), Paris, France,

[72] A. Roebel, J. Pons Puig, M. Liuni, M. Lagrange. On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Brisbane, Australie, DOI

[73] G. Busquets, M. Lagrange, I. Emmanuel, H. Andrieu. Classification of rainfall radar images using the scattering transform, in EUSIPCO, Nice, France, DOI

[74] M. Rossignol, M. Lagrange, G. Lafay, E. Benetos. Alternate Level Clustering for Drum Transcription, in EUSIPCO, Nice, France,

[75] E. Benetos, G. Lafay, M. Lagrange, M. Plumbley. Detection of Overlapping Acoustic Events using a Temporally-Constrained Probabilistic Model, in ICASSP, Shanghai, Chine,

[76] M. Lagrange, M. Rossignol. Computational experiments in Science: Horse wrangling in the digital age, in Research workshop on “Horses” in Applied Machine Learning, London, Royaume-Uni, DOI

[77] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Creation of a corpus of realistic urban sound scenes with controlled acoustic properties, in 173rd Meeting of the Acoustical Society of America and the 8th Forum Acusticum (Acoustics'17), Boston, MA, états-Unis, DOI

[78] G. Lafay, E. Benetos, M. Lagrange. Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results, in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), Mohonk, états-Unis, DOI

[79] M. Lagrange, M. Rossignol, G. Lafay. Visualization of audio data using stacked graphs, in 19th International Society for Music Information Retrieval Conference, Paris, France,

[80] V. Lostanlen, J. Andén, M. Lagrange. Extended playing techniques: The next milestone in musical instrument recognition, in 5th International Conference on Digital Libraries for Musicology, Paris, France,

[81] J. Petiot, K. Legeay, M. Lagrange. Optimization of the sound of electric vehicles according to unpleasantness and detectability, in International Conference on Engineering Design ICED 2019, DELFT, Pays-Bas, DOI

[82] F. Gontier, M. Lagrange, C. Lavandier, J. Petiot. Privacy aware acoustic scene synthesis using deep spectral feature inversion, in IEEE ICASSP, Barcelona, Espagne, DOI

[83] M. Lagrange, F. Gontier. Bandwidth extension of musical audio signals with no side information using dilated convolutional neural networks, in IEEE ICASSP, Barcelona, Espagne, DOI

[84] J. Picaut, A. Can, N. Fortin, J. Ardouin, M. Lagrange. Low-cost sensors for noise monitoring networks: a review, in Forum Acusticum, Lyon, France, DOI

[85] T. Souaille, J. Petiot, M. Lagrange, N. Misdariis. Extracting Design Recommendations from Interactive Genetic Algorithm Experiments: Application to the Design of Sounds for Electric Vehicles, in ICED21 – 23rd International Conference on Engineering Design, Gothenburg, Suède,

[86] V. Lostanlen, A. Bernabeu, J. Béchennec, M. Briday, S. Faucou, M. Lagrange. Energy Efficiency is Not Enough: Towards a Batteryless Internet of Sounds, in Proceedings of the International Workshop on the Internet of Sounds (IWIS), Trento, Italie,

[87] C. Lavandier, P. Aumond, A. Can, F. Gontier, M. Lagrange, G. Petit. Urban sensor network for characterizing the sound environment in Lorient (France) through an automatic assessment of traffic, voice and bird presence ratios, in European Congress on Noise Control Engineering (EuroNoise), Madeira (on line), Portugal,

[88] J. Ardouin, J. Baron, L. Charpentier, D. Ecotiere, N. Fortin, F. Gontier, G. Guillaume, M. Lagrange, G. Libouban, J. Picaut, C. Ribeiro. A high density network of low cost acoustic sensors based on wired and airborne transmission of spectral data, in Euronoise 2021, Madeira (on line), Portugal,

[89] P. Aumond, A. Can, M. Lagrange, F. Gontier, C. Lavandier. Multidimensional analysis to monitor the effects of COVID-19 lockdown on the urban sound environment of Lorient, in European Congress on Noise Control Engineering (EuroNoise), Madeira, Portugal,

[90] M. Outidrarine, P. Baudet, V. Lostanlen, M. Lagrange, J. Ulloa. Exploring Eco-Acoustic Data with K-Determinantal Point Processes, in DCASE 2022 – International Workshop on Detection and Classification of Acoustic Scenes and Events, Nancy, France,

[91] J. Muradeli, C. Vahidi, C. Wang, H. Han, V. Lostanlen, M. Lagrange, G. Fazekas. Differentiable Time-Frequency Scattering On GPU, in Digital Audio Effects Conference (DAFx), Vienna, Autriche,

[92] C. Wang, V. Lostanlen, M. Lagrange. Explainable Audio Classification of Playing Techniques with Layer-wise Relevance Propagation, in 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, Grèce, DOI

[93] H. Han, V. Lostanlen, M. Lagrange. Perceptual–Neural–Physical Sound Matching, in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Rhodes Island, Greece, France, DOI

[94] M. Traoré, G. Simonini, Y. Goude, M. Lagrange, A. Girard, J. Idier. Forecasting axial offset using tree-based models: a step towards improved nuclear power plants manoeuvrability, in International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, Niagara Falls, Ontario, Canada,

[95] K. Choi, J. Im, L. Heller, B. Mcfee, K. Imoto, Y. Okamoto, M. Lagrange, S. Takamichi. Foley sound synthesis at the DCASE 2023 challenge, in 2023 Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023), Tampere, Finlande,

[96] M. Tailleur, M. Lagrange, P. Aumond, V. Tourre. Spectral trancoder : using pretrained urban sound classifiers on undersampled spectral representations, in 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), Tampere & online, Finlande,

[97] C. Vahidi, S. Singh, E. Benetos, H. Phan, D. Stowell, G. Fazekas, M. Lagrange. Perceptual musical similarity metric learning with graph neural networks, in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), New Paltz, NY, états-Unis,

[98] V. Lostanlen, D. Haider, H. Han, M. Lagrange, P. Balazs, M. Ehler. Fitting Auditory Filterbanks with Multiresolution Neural Networks, in IEEE Workshop on Applications of Signal Processing to Acoustics and Audio (WASPAA 2023), New Paltz, NY, états-Unis, DOI

[99] H. Ouajdi, O. Hadder, M. Tailleur, M. Lagrange, L. Heller. Detection of Deepfake Environmental Audio, in EUSIPCO, Lyon, France,

[100] J. Lee, M. Tailleur, L. Heller, K. Choi, M. Lagrange, B. McFee, K. Imoto, Y. Okamoto. Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation, in AudioImagination Workshop @ Neurips, Vancouver (BC), France,

[101] M. Tailleur, J. Lee, M. Lagrange, K. Choi, L. Heller, K. Imoto, Y. Okamoto. Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent, in EUSIPCO, Lyon, France,

[102] L. Jankowiak, H. Han, V. Lostanlen, M. Lagrange. Towards multisensory control of physical modeling synthesis, in International Congress & Exposition on Noise Control Engineering (Inter-Noise), Nantes, France,

[103] M. Tailleur, P. Aumond, V. Tourre, M. Lagrange. Towards better visualizations of urban sound environments: insights from interviews, in INTERNOISE 2024, Nantes, France, DOI

[104] B. Pascal, M. Lagrange. On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches, in 32th European Signal Processing Conference (EUSIPCO), Lyon, France,

[105] M. Tailleur, J. Pinquier, L. Millot, C. Vogel, M. Lagrange. EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal, in 21st International Conference on Content-based Multimedia Indexing (CBMI 2024), Reykjavik, Islande,

[106] Y. Kong, V. Lostanlen, G. Meseguer-Brocal, S. Wong, M. Lagrange, R. Hennequin. STONE: Self-supervised Tonality Estimator, in International Society for Music Information Retrieval Conference (ISMIR), San Francisco, états-Unis,

[107] Y. Kong, G. Meseguer-Brocal, V. Lostanlen, M. Lagrange, R. Hennequin. S-KEY: Self-Supervised Learning of Major and Minor Keys from Audio, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, Inde,

[108] C. Boukhemia, N. Misdariis, M. Lagrange. Nouvelle approche de réalité augmentée sonore pour le traitement du bruit en environnement intérieur : une expérience exploratoire, in CFA 2025 – 17e Congrès Français d'Acoustique, Paris, France,

[109] V. Lostanlen, X. Zhang, D. Haider, M. Lagrange, M. Ehler, P. Balazs. Residual Hybrid Filterbanks, in IEEE Statistical Signal Processing Workshop (SSP), Edinburgh, Royaume-Uni,

[110] C. Boukhemia, N. Misdariis, M. Lagrange. Characterizing new modalities of shared offices: A diary-interview methodology to inform audio augmented reality approaches, in 11th Convention of the European Acoustics Association, Málaga, Espagne, DOI

[111] H. Han, V. Lostanlen, M. Lagrange. GuqinSonGest: A multimodal and historically grounded dataset of guqin playing techniques, in Sound and Music Computing Conference (SMC), Graz, Autriche,

[112] A. Drelingyte, R. Serizel, M. Lagrange. Phoneme-Level Speech Intelligibility Reduction, in EUSIPCO 2025 – 33rd European Signal Processing Conference, Palerme, Italie,

[113] H. Han, V. Lostanlen, M. Lagrange. Gradient Clipping Improves Neural Network Optimization for Perceptual Sound Matching, in European Signal Processing Conference (EUSIPCO), Palermo, Italie,

[114] M. Tailleur, C. Benaatia, M. Lagrange, P. Aumond, V. Tourre. Diffusion-based spectral super-resolution of third octave acoustic sensor data: is privacy at risk ?, in 33rd European Signal Processing Conference (EUSIPCO 2025), Palerme, Italie,

[115] V. Lostanlen, Y. Kong, G. Meseguer-Brocal, M. Lagrange, R. Hennequin. STOMP! Self-supervised beat induction by matching pulses, in International Society for Music Information Retrieval Late-Breaking/Demo (ISMIR-LBD), Daejeon, Corée du Sud,

[116] Y. Kong, G. Meseguer-Brocal, V. Lostanlen, M. Lagrange, R. Hennequin. Emergent musical properties of a transformer under contrastive self-supervised learning, in Proceedings of the International Society on Music Information Retrieval (ISMIR) Conference, Daejeon, Corée du Sud,

[117] Y. Kong, V. Lostanlen, R. Hennequin, M. Lagrange, G. Meseguer-Brocal. Multi-Class-Token Transformer for Multitask Self-supervised Music Information Retrieval, in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Tahoe City, CA, états-Unis,

[118] G. Carmantini, Y. Benhamadi, M. Carreau, M. Kwak, I. Morandi, F. Förstner, P. Hladik, M. Lagrange, P. Linhart, T. Petrusková, V. Lostanlen, S. Kahl. Bioacoustics on Tiny Hardware at the BioDCASE 2025 Challenge, in Detection and Classification of Acoustic Scenes and Events (DCASE), Barcelona, Espagne,

[119] Y. Kong, V. Lostanlen, R. Hennequin, M. Lagrange, G. Meseguer-Brocal. Taking Advantage of Emergent Properties of a Transformer for Music Representation Learning, in Digital Music Research Network (DMRN), Londres, Royaume-Uni,

[120] C. Mitcheltree, V. Lostanlen, E. Benetos, M. Lagrange. SCRAPL: Scattering Transform with Random Paths for Machine Learning, in International Conference on Learning Representations (ICLR), Rio de Janeiro, Brésil, DOI

[121] X. Zhang, V. Lostanlen, M. Lagrange. Multiresolution Neural Network for One-Class Learning of Machine Sounds, in European Signal Processing Conference, Bruges, Belgique,

[122] Y. Benhamadi, V. Lostanlen, M. Lagrange. Learning Energy-Efficient Filterbanks for On-device Bioacoustic Classification, in IEEE International Symposium on the Internet of Sounds (IS2) 2026, Cannes, France,

[123] T. Chasle Cauchy, M. Tailleur, L. Reymore, F. Roche, M. Lagrange. Predicting Timbre Traits For Interpretable Assessment Of Musical Sound Synthesizers, in Sound and Music Computing Conference 2026, Zagreb, Croatie,

[124] V. Lostanlen, M. Lagrange. This Way Up: Evaluating Frequency–Elevation Mapping in Audio–Language Models, in Sound and Music Computing, Zagreb, Croatie,

Conférences nationales avec comité de lecture et actes

[125] M. Lagrange, J. Serra. Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network, in International Conference on Music Information Retrieval, Utrecht, Pays-Bas,

[126] F. Rigaud, M. Lagrange, A. Roebel, G. Peeters. Drum Extraction From Polyphonic Music Based on a Spectro-Temporal Model of Percussive Sounds, in Proc. of ICASSP, Prague, République tchèque,

[127] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Estimating traffic noise levels using acoustic monitoring: a preliminary study, in DCASE 2016, Detection and Classification of Acoustic Scenes and Events, BUDAPEST, Hongrie,

[128] J. Picaut, A. Can, J. Ardouin, P. Crepeaux, T. Dhome, D. Ecotiere, M. Lagrange, C. Lavandier, V. Mallet, C. Mietlicki, M. Paboeuf. Characterization of urban sound environments using a comprehensive approach combining open data, measurements, and modeling, in Acoustics '17, BOSTON, états-Unis, DOI

[129] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Estimation du niveau sonore du trafic routier au sein de mixtures sonores urbaines par la Factorisation en Matrices Non négatives, in 14ème congrès français d'acoustique, CFA'18, LE HAVRE, France,

[130] F. Gontier, P. Aumond, M. Lagrange, C. Lavandier, J. Petiot. Towards perceptual soundscape characterization using event detection algorithms, in DCASE 2018, Workshop on Detection and Classification of Acoustic Scenes and Events, Surrey, Royaume-Uni,

[131] J. Gloaguen, M. Lagrange, A. Can, J. Petiot. Study of the Non-negative Matrix Factorization behavior to estimate the urban traffic sound levels, in ICSV'26, 26th International Congress on Sound and Vibration, Montreal, Canada,

[132] T. Souaille, N. Misdariis, J. Petiot, M. Lagrange. Conception interactive en design sonore – Réduction d’un espace de design appliquée aux sons d’usage du véhicule autonome, in 16ème Congrès Français d'Acoustique, CFA2022, Marseille, France,

[140] G. Lafay, N. Misdariis, M. Lagrange, M. Rossignol. A novel interface for audio based sound data mining,

[141] M. Lagrange, A. Mesaros, T. Pellegrini, G. Richard, R. Serizel, D. Stowell. Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2022),

[142] Y. Kong, G. Meseguer-Brocal, V. Lostanlen, M. Lagrange, R. Hennequin. S-KEY: Self-supervised Learning of Major and Minor Keys from Audio,

[143] Y. Benhamadi, A. Bernabeu, I. Morandi, M. Kwak, V. Lostanlen, P. Hladik, P. Linhart, T. Petruskov, M. Lagrange. Modeling Battery Lifetime in TinyML-enabled Bioacoustic Surveys: A case study with the AudioMoth sensor and Yellowhammer (Emberiza citrinella),

[144] M. Tailleur, J. Lee, L. Heller, M. Lagrange, K. Choi, B. McFee, K. Imoto, Y. Okamoto. SsgCaps: A controlled dataset for the evaluation of sound scene generation algorithms,

[145] T. Chasle Cauchy, M. Tailleur, B. Pascal, F. Roche, M. Lagrange. Sobolev Norms in Neural Embeddings Measure Audio Morphing Regularity,

ReNAR – Reducing Noise with Augmented Reality

Pas de plateformes référencées pour l’instant

Pas de logiciels de référencés pour l’instant

Fiche Membre

En un clic !

Composante(s) d’expertise Pôle associée(s)

Expertises équipes

Mathieu Lagrange

Expertises :

Coordonnées

Adresse(s)

Publications déposées sur HAL

Revues internationales avec comité de lecture

Revues nationales avec comité de lecture

Conférences internationales avec comité de lecture et actes

Conférences nationales avec comité de lecture et actes

Brevets

Ouvrages – Chapitres d'ouvrages et directions d'ouvrages

Theses et HDR

Autres publications

Restons connectés

Travaillons ensemble