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Mathieu LAGRANGE

CHERCHEUR

Chercheur

: Mathieu.Lagrangeatls2n.fr

Page pro : http://pagesperso.ls2n.fr/~lagrange-m

Adresse :

Centrale Nantes ( CN )
Petit Port
1, rue de la Noë
BP 92101
44321 NANTES Cedex 3

Batiment S, étage 3, bureau 309


Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [1] A. Souaille, V. Lostanlen, M. Lagrange, N. Misdariis, J. Petiot. Acoustical and behavioral heuristics for fast interactive sound design. In PLoS ONE ; éd. Public Library of Science, 2024, vol. 19, num. 1.
      https://hal.science/hal-04384213v1
    • [2] 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 ; éd. Institute of Electrical and Electronics Engineers, 2024, vol. 32.
      https://hal.science/hal-04580765v1
    • [3] 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 ; éd. Acoustical Society of America, 2024, vol. 156, num. 1.
      https://hal.science/hal-04676606v1
    • [4] 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 ; éd. IEEE, 2023.
      https://hal.science/hal-04041020v1
    • [5] C. Vahidi, H. Han, C. Wang, M. Lagrange, G. Fazekas, V. Lostanlen. Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. In Journal of the Audio Engineering Society ; éd. Audio Engineering Society, 2023, vol. 71, num. 9.
      https://hal.science/hal-04118474v1
    • [6] 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 ; éd. SpringerOpen, 2023.
      https://hal.science/hal-04320810v1
    • [7] 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 ; éd. Acoustical Society of America, 2022, vol. 151, num. 2.
      https://hal.science/hal-03584844v2
    • [8] 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 ; éd. Elsevier, 2022, vol. 129.
      https://hal.science/hal-03596856v2
    • [9] 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 ; éd. Cambridge University Press, 2022, vol. 8.
      https://hal.science/hal-03865223v1
    • [10] 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 ; éd. SpringerOpen, 2021, vol. 1, num. 1.
      https://hal.science/hal-03000693v1
    • [11] 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 ; éd. Acoustical Society of America, 2021.
      https://hal.science/hal-03262863v1
    • [12] J. Picaut, A. Can, N. Fortin, J. Ardouin, M. Lagrange. Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review. In Sensors ; éd. MDPI, 2020, vol. 20, num. 8.
      https://hal.science/hal-02930109v2
    • [13] 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 ; éd. IEEE, 2020, vol. 7, num. 10.
      https://hal.science/hal-02930053v2
    • [14] 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 ; éd. Hirzel Verlag, 2019, vol. 105, num. 6.
      https://hal.science/hal-02388788v1
    • [15] 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 ; éd. Elsevier, 2019, num. 143.
      https://hal.science/hal-01887710v1
    • [16] G. Lafay, M. Rossignol, N. Misdariis, M. Lagrange, J. Petiot. Investigating soundscapes perception through acoustic scenes simulation. In Behavior Research Methods ; éd. Psychonomic Society, Inc, 2019, vol. 51, num. 2.
      https://hal.science/hal-01111782v2
    • [17] V. Lostanlen, J. Andén, M. Lagrange. Fourier at the heart of computer music: From harmonic sounds to texture. In Comptes Rendus. Physique ; éd. Académie des sciences (Paris), 2019.
      https://hal.science/hal-02283200v1
    • [18] 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 ; éd. Institute of Electrical and Electronics Engineers, 2018, vol. 26, num. 2.
      https://hal.science/hal-01650601v1
    • [19] M. Rossignol, M. Lagrange, A. Cont. Efficient similarity-based data clustering by optimal object to cluster reallocation. In PLoS ONE ; éd. Public Library of Science, 2018, vol. 13, num. 6.
      https://hal.science/hal-01123756v2
    • [20] 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 ; éd. SpringerOpen, 2018, vol. 2018, num. 1.
      https://hal.science/hal-01887403v1
    • [21] 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 ; éd. MDPI, 2017, vol. 17, num. 12.
      https://hal.science/hal-01650593v1
    • [22] 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 ; éd. Institute of Electrical and Electronics Engineers, 2017, vol. 25, num. 6.
      https://hal.science/hal-01520194v1
    • [23] 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 ; éd. Institute of Electrical and Electronics Engineers, 2016, vol. 24, num. 10.
      https://hal.science/hal-01111381v2
    • [24] G. Busquets, M. Lagrange, I. Emmanuel, H. Andrieu, S. Loubrie. Classification of rainfall radar images using the scattering transform. In Journal of Hydrology ; éd. Elsevier, 2016.
      https://hal.science/hal-01397741v1
    • [25] G. Lafay, N. Misdariis, M. Lagrange, M. Rossignol. Semantic browsing of sound databases without keywords. In Journal of the Audio Engineering Society ; éd. Audio Engineering Society, 2016, vol. 64, num. 9.
      https://hal.science/hal-01300399v2
    • [26] D. Stowell, D. Giannoulis, E. Benetos, M. Lagrange, M. Plumbley. Detection and Classification of Acoustic Scenes and Events. In IEEE Transactions on Multimedia ; éd. Institute of Electrical and Electronics Engineers, 2015, vol. 17, num. 10.
      https://hal.science/hal-01253912v1
    • [27] 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 ; éd. Acoustical Society of America, 2015, vol. 138, num. 5.
      https://hal.science/hal-01082501v2
    • [28] A. Ozerov, M. Lagrange, E. Vincent. Uncertainty-based learning of acoustic models from noisy data. In Computer Speech and Language ; éd. Elsevier, 2013, vol. 27, num. 3.
      https://inria.hal.science/hal-00717992v2
    • [29] 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 ; éd. Elsevier, 2010, vol. 31, num. 12.
      https://inria.hal.science/hal-00945198v1
    • [30] M. Lagrange, M. Raspaud. Spectral similarity metrics for sound source formation based on the common variation cue. In Multimedia Tools and Applications ; éd. Springer Verlag, 2010.
      https://hal.science/hal-01132571v1
    • [31] 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 ; éd. Institute of Electrical and Electronics Engineers, 2008, vol. 16, num. 2.
      https://hal.science/hal-01697331v1
    • [32] M. Lagrange, S. Marchand. Estimating the Instantaneous Frequency of Sinusoidal Components Using Phase-Based Methods. In Journal of the Audio Engineering Society ; éd. Audio Engineering Society, 2007, vol. 55.
      https://hal.science/hal-00308193v1
    • [33] 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 ; éd. Institute of Electrical and Electronics Engineers, 2007, vol. 15.
      https://hal.science/hal-00308191v1
    • [34] M. Lagrange, S. Marchand, J. Rault. Long Interpolation of Audio Signals Using Linear Prediction in Sinusoidal Modeling. In Journal of the Audio Engineering Society ; éd. Audio Engineering Society, 2005, vol. 53.
      https://hal.science/hal-00308188v1

Revues nationales avec comité de lecture (ART_NAT)

    • [35] 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 ; éd. Neuilly-sur-Seine : Centre d'information et de documentation sur le bruit, 2017, vol. 86-87.
      https://hal.science/hal-01716536v1
    • [36] E. Murphy, M. Lagrange, G. Scavone, P. Depalle, C. Guastavino. Perceptual evaluation of rolling sound synthesis. In Acta Acustica united with Acustica ; éd. Hirzel Verlag, 2011, vol. 5, num. 97.
      https://hal.science/hal-01106645v1
    • [37] 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 ; éd. Lavoisier, 2011, vol. 28, num. 6.
      https://hal.science/hal-00809496v1
    • [38] 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 ; éd. Institute of Electrical and Electronics Engineers, 2010, vol. 18, num. 3.
      https://hal.science/hal-01106568v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [39] H. Ouajdi, O. Hadder, M. Tailleur, M. Lagrange, L. Heller. Detection of Deepfake Environmental Audio. In EUSIPCO, 2024, Lyon, France.
      https://hal.science/hal-04603448v2
    • [40] 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, 2024, Lyon, France.
      https://hal.science/hal-04603443v1
    • [41] 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), août 2024, Nantes, France.
      https://hal.science/hal-04579720v1
    • [42] M. Tailleur, P. Aumond, V. Tourre, M. Lagrange. Towards better visualizations of urban sound environments: insights from interviews. In INTERNOISE 2024, août 2024, Nantes, France.
      https://hal.science/hal-04593887v1
    • [43] B. Pascal, M. Lagrange. On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches. In 32th European Signal Processing Conference (EUSIPCO), août 2024, Lyon, France.
      https://hal.science/hal-04501973v1
    • [44] J. Pinquier, L. Millot, C. Vogel, M. Lagrange, M. Tailleur. EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal. In 21st International Conference on Content-based Multimedia Indexing (CBMI 2024), septembre 2024, Reykjavik, Islande.
      https://hal.science/hal-04620072v1
    • [45] 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), novembre 2024, San Francisco, états-Unis.
      https://hal.science/hal-04675781v1
    • [46] 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), juin 2023, Rhodes, Grèce.
      https://hal.science/hal-04029145v1
    • [47] H. Han, V. Lostanlen, M. Lagrange. Perceptual–Neural–Physical Sound Matching. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, juin 2023, Rhodes Island, Greece, France.
      https://hal.science/hal-04027307v1
    • [48] 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, août 2023, Niagara Falls, Ontario, Canada.
      https://hal.science/hal-04137890v1
    • [49] 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), septembre 2023, Tampere, Finlande.
      https://hal.science/hal-04178960v2
    • [50] 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), septembre 2023, Tampere & online, Finlande.
      https://hal.science/hal-04178197v2
    • [51] 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), octobre 2023, New Paltz, NY, états-Unis.
      https://hal.science/hal-04178191v1
    • [52] 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), octobre 2023, New Paltz, NY, états-Unis.
      https://hal.science/hal-04170940v1
    • [53] M. Outidrarine, P. Baudet, V. Lostanlen, M. Lagrange, J. Ulloa. Exploring Eco-Acoustic Data with K-Determinantal Point Processes. In International Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2022, Nancy, France.
      https://hal.science/hal-03829922v1
    • [54] 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), septembre 2022, Vienna, Autriche.
      https://hal.science/hal-03863423v1
    • [55] 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, août 2021, Gothenburg, Suède.
      https://hal.science/hal-03312375v2
    • [56] 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), septembre 2021, Trento, Italie.
      https://hal.science/hal-03324622v1
    • [57] 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), octobre 2021, Madeira (on line), Portugal.
      https://hal.science/hal-03432926v1
    • [58] 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, octobre 2021, Madeira (on line), Portugal.
      https://hal.science/hal-03432884v1
    • [59] 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), octobre 2021, Madeira, Portugal.
      https://hal.science/hal-03432929v1
    • [60] F. Gontier, M. Lagrange, C. Lavandier, J. Petiot. Privacy aware acoustic scene synthesis using deep spectral feature inversion. In IEEE ICASSP, mai 2020, Barcelona, Espagne.
      https://hal.science/hal-02478866v1
    • [61] M. Lagrange, F. Gontier. Bandwidth extension of musical audio signals with no side information using dilated convolutional neural networks. In IEEE ICASSP, mai 2020, Barcelona, Espagne.
      https://hal.science/hal-02473457v2
    • [62] J. Picaut, A. Can, N. Fortin, J. Ardouin, M. Lagrange. Low-cost sensors for noise monitoring networks: a review. In Forum Acusticum, décembre 2020, Lyon, France.
      https://hal.science/hal-03233750v1
    • [63] 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, août 2019, DELFT, Pays-Bas.
      https://hal.science/hal-02280954v1
    • [64] M. Lagrange, M. Rossignol, G. Lafay. Visualization of audio data using stacked graphs. In 19th International Society for Music Information Retrieval Conference, septembre 2018, Paris, France.
      https://hal.science/hal-01807481v1
    • [65] 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, septembre 2018, Paris, France.
      https://hal.science/hal-01864986v1
    • [66] 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), juin 2017, Boston, MA, états-Unis.
      https://hal.science/hal-01635393v1
    • [67] 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), septembre 2017, Mohonk, états-Unis.
      https://hal.science/hal-01635414v1
    • [68] E. Benetos, G. Lafay, M. Lagrange, M. Plumbley. Detection of Overlapping Acoustic Events using a Temporally-Constrained Probabilistic Model. In ICASSP, mars 2016, Shanghai, Chine.
      https://hal.science/hal-01255074v2
    • [69] M. Lagrange, M. Rossignol. Computational experiments in Science: Horse wrangling in the digital age. In Research workshop on “Horses” in Applied Machine Learning, octobre 2016, London, Royaume-Uni.
      https://hal.science/hal-01635373v1
    • [70] M. Rossignol, G. Lafay, M. Lagrange, N. Misdariis. SimScene : a web-based acoustic scenes simulator. In 1st Web Audio Conference (WAC), janvier 2015, Paris, France.
      https://hal.science/hal-01078098v2
    • [71] A. Roebel, J. Pons Puig, M. Liuni, M. Lagrange. On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence. In Proc of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), avril 2015, Brisbane, Australie.
      https://hal.science/hal-01261256v1
    • [72] G. Busquets, M. Lagrange, I. Emmanuel, H. Andrieu. Classification of rainfall radar images using the scattering transform. In EUSIPCO, septembre 2015, Nice, France.
      https://hal.science/hal-01164184v1
    • [73] M. Rossignol, M. Lagrange, G. Lafay, E. Benetos. Alternate Level Clustering for Drum Transcription. In EUSIPCO, septembre 2015, Nice, France.
      https://hal.science/hal-01122006v2
    • [74] G. Lafay, M. Lagrange, M. Rossignol, J. Petiot, N. Misdariis. A New Experimental Approach for Urban Soundscape Characterization Based on Sound Manipulation : A Pilot Study. In International Symposium on Musical Acoustics, juillet 2014, Le Mans, France.
      https://hal.science/hal-01099645v1
    • [75] 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, 2013, NA, France.
      https://hal.science/hal-01106754v1
    • [76] C. Baugé, M. Lagrange, J. Andén, S. Mallat. Representing environmental sounds using the separable scattering transform. In ICASSP, mai 2013, Vancouver, Canada.
      https://hal.science/hal-01126650v1
    • [77] 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, juillet 2013, Paris, France.
      https://inria.hal.science/hal-00940075v1
    • [78] R. Foucard, S. Essid, G. Richard, M. Lagrange. Exploring new features for music classification. In WIAMIS, juillet 2013, Paris, France.
      https://hal.science/hal-01126767v1
    • [79] 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, septembre 2013, Marrakech, Maroc.
      https://hal.science/hal-01123764v1
    • [80] 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, octobre 2013, New Paltz, états-Unis.
      https://hal.science/hal-01123765v1
    • [81] M. Lagrange, L. Martins, G. Tzanetakis. Cluster aware normalization for enhancing audio similarity. In IEEE ICASSP, janvier 2012, Las Vegas, états-Unis.
      https://hal.science/hal-01126778v1
    • [82] R. Foucard, S. Essid, M. Lagrange, G. Richard. A regressive boosting approach to automatic audio tagging based on soft annotator fusion. In IEEE ICASSP, mars 2012, Kyoto, Japon.
      https://hal.science/hal-01132529v1
    • [83] E. Benetos, M. Lagrange, S. Dixon. Characterisation of Acoustic Scenes using a Temporally Constrained Shit-Invariant Model. In DAFx, septembre 2012, York, Royaume-Uni.
      https://hal.science/hal-01126770v1
    • [84] 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), octobre 2012, Porto, Portugal.
      https://inria.hal.science/hal-00709826v1
    • [85] B. Cauchi, M. Lagrange, N. Misdariis, A. Cont. Sparse representations for modeling environmental acoustic scenes, application to train stations soundscapes. In Acoustics 2012, avril 2012, Nantes, France.In Société Française d'Acoustique (éds.), . , 2012.
      https://hal.science/hal-00810774v1
    • [86] R. Foucard, S. Essid, M. Lagrange, G. Richard. Multi-scale temporal fusion by boosting for music classification. In ISMIR, 2011, Miami, états-Unis.
      https://imt.hal.science/hal-00639097v1
    • [87] M. Lagrange, G. Tzanetakis. Adaptive N-normalization for enhancing music similarity. In IEEE ICASSP, mai 2011, Prague, République tchèque.
      https://hal.science/hal-01132539v1
    • [88] A. Ozerov, M. Lagrange, E. Vincent. GMM-based classification from noisy features. In International Workshop on Machine Listening in Multisource Environments (CHiME 2011), septembre 2011, Florence, Italie.
      https://inria.hal.science/inria-00598742v1
    • [89] 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), 2010, Dallas, Texas, états-Unis.
      https://inria.hal.science/hal-00945296v1
    • [90] R. Foucard, J. Durrieu, M. Lagrange, G. Richard. Multimodal similarity between musical streams for cover version detection. In IEEE ICASSP, mars 2010, Dallas, états-Unis.
      https://hal.science/hal-01132553v1
    • [91] 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), septembre 2010, Graz, Autriche.
      https://hal.science/hal-00523319v1
    • [92] M. Robine, P. Hanna, M. Lagrange. Meter Class Profiles for Music Similarity and Retrieval. In International Society for Music Information Retrieval Conference (ISMIR), octobre 2009, Kobe, Japon.
      https://hal.science/hal-00423715v1
    • [93] G. Tzanetakis, R. Jones, C. Castillo, L. Martins, L. Teixeira, M. Lagrange. Interoperability And The Marsyas 0.2 Runtime. In ICMC, 2008, Belfast, Irlande.
      https://hal.science/hal-01697498v1
    • [94] M. Lagrange, B. Scherrer. Two-Step Modal Identification For Increased Resolution Analysis Of Percussive Sounds. In DAFX, 2008, Espoo, Finlande.
      https://hal.science/hal-01697496v1
    • [95] M. Lagrange, G. Scavone, P. Depalle. Time-Domain Analysis / Synthesis Of The Excitation Signal In A Source / Filter Model Of Contact Sounds. In ICAD, 2008, Paris, France.
      https://hal.science/hal-01697530v1
    • [96] M. Lagrange, L. Martins, G. Tzanetakis. A Computationally Efficient Scheme for Dominant Harmonic Source Separation. In ICASSP, 2008, Las Vegas, états-Unis.
      https://hal.science/hal-01697506v1
    • [97] M. Lagrange, N. Whetsell, P. Depalle. On The Control Of The Phase Of Resonant Filters With Applications To Percussive Sound Modelling. In DAFX, 2008, Espoo, Finlande.
      https://hal.science/hal-01697491v1
    • [98] L. Teixeira, L. Martins, M. Lagrange, G. Tzanetakis. MarsyasX : Multimédia Datflow Processing vith Implicit Patching. In Proceeding of the 16th ACM international conference, octobre 2008, Vancouver, France.
      https://hal.science/hal-01697481v1
    • [99] 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, 2007, Grenoble, France.
      https://hal.science/hal-01697540v1
    • [100] 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, 2006, Vancouver, Canada.
      https://hal.science/hal-02005791v1
    • [101] 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, septembre 2006, , Canada.
      https://hal.science/hal-00308186v1
    • [102] M. Desainte-Catherine, P. Hanna, C. Havel, G. Kurtag, M. Lagrange, S. Marchand, E. Nicouleau, M. Raspaud, M. Robine, R. Strandh. SCRIME Studio Report. In International Computer Music Conference (ICMC), 2005, , Espagne.
      https://hal.science/hal-00363174v1
    • [103] M. Lagrange, S. Marchand, J. Rault. Partial Tracking Based on Future Trajectories Exploration. In 116-th Convention of the AES, mai 2004, , Allemagne.
      https://hal.science/hal-00308189v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [104] 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, avril 2022, Marseille, France.
      https://hal.science/hal-03847796v1
    • [105] 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, avril 2018, LE HAVRE, France.
      https://hal.science/hal-01830431v1
    • [106] 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, juin 2017, BOSTON, états-Unis.
      https://hal.science/hal-01630746v1
    • [107] 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, septembre 2016, BUDAPEST, Hongrie.
      https://hal.science/hal-01375796v1
    • [108] 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 ISMA - International Symposium on Musical Acoustics, juillet 2014, Le Mans, France.
      https://hal.science/hal-01107153v1
    • [109] 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, 2011, Prague, République tchèque.
      https://hal.science/hal-01106710v1
    • [110] M. Lagrange, J. Serra. Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network. In International Conference on Music Information Retrieval, 2010, Utrecht, Pays-Bas.
      https://hal.science/hal-01161246v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

    • [111] L. Martins, M. Lagrange, G. Tzanetakis. Modeling Grouping Cues for Auditory Scene Analysis Using a Spectral Clustering Formulation. In Machine Audition: Principles, Algorithms and Systems,. 03-2011
      https://hal.science/hal-01106542v1

Theses et HDR (THESE)

Autres publications (AUTRES)

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