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SIEL

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

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

Vincent Lostanlen

Chercheur.euse – Chargé / chargée de recherche

Equipe : SIMS

Employeur : Centre National de la Recherche Scientifique

Expertises :

Ecoute ArtificielleApprentissage ProfondBioacoustique

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Publications déposées sur HAL

Nombre de publications retournées : 86

Revues internationales avec comité de lecture

[1] 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

[2] V. Lostanlen, J. Salamon, M. Cartwright, B. Mcfee, A. Farnsworth, S. Kelling, J. Bello. Per-Channel Energy Normalization: Why and How, in IEEE Signal Processing Letters, vol. 26, no. 1, pp. 39-43, DOI

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

[4] V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, J. Bello. Robust sound event detection in bioacoustic sensor networks, in PLoS ONE, vol. 14, no. 10, pp. e0214168, DOI

[5] M. Andreux, T. Angles, G. Exarchakis, R. Leonarduzzi, G. Rochette, L. Thiry, J. Zarka, S. Mallat, J. Andén, E. Belilovsky, J. Bruna, V. Lostanlen, M. Hirn, E. Oyallon, S. Zhang, C. Cella, M. Eickenberg. Kymatio: Scattering Transforms in Python, in Journal of Machine Learning Research, vol. 21, no. 60, pp. 1-6,

[6] 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

[7] 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

[8] P. Warrick, V. Lostanlen, M. Eickenberg, M. Homsi, A. Campoy Rodriguez, J. Andén. Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation, in Physiological Measurement, vol. 43, no. 9, pp. 094002, DOI

[9] C. Wang, E. Benetos, V. Lostanlen, E. Chew. Adaptive Scattering Transforms for Playing Technique Recognition, in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 30, pp. 1407-1421, DOI

[10] B. van Doren, V. Lostanlen, A. Cramer, J. Salamon, A. Dokter, S. Kelling, J. Bello, A. Farnsworth. Automated acoustic monitoring captures timing and intensity of bird migration, in Journal of Applied Ecology, DOI

[11] V. Lostanlen, L. Yan, X. Yang. From HEAR to GEAR: Generative Evaluation of Audio Representations, in Proceedings of Machine Learning Research, no. 166, pp. 48-64,

[12] D. Desblancs, V. Lostanlen, R. Hennequin. Zero-Note Samba : Suivi de pulsation autodidacte, in IEEE/ACM Transactions on Audio, Speech and Language Processing, pp. 1-13, DOI

[13] 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,

[14] I. Nolasco, S. Singh, V. Morfi, V. Lostanlen, A. Strandburg-Peshkin, E. Vidaña-Vila, L. Gill, H. Pamuła, H. Whitehead, I. Kiskin, F. Jensen, J. Morford, M. Emmerson, E. Versace, E. Grout, H. Liu, B. Ghani, D. Stowell. Learning to detect an animal sound from five examples, in Ecological Informatics, vol. 77, pp. 102258, DOI

[15] D. Haider, V. Lostanlen, M. Ehler, P. Balazs. Instabilities in Convnets for Raw Audio, in IEEE Signal Processing Letters, vol. 31, pp. 1084-1088, DOI

[16] 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

[17] V. Lostanlen, A. Cramer, J. Salamon, A. Farnsworth, B. Van Doren, S. Kelling, J. Bello. BirdVoxDetect : Large-Scale Detection and Classification of Flight Calls for Bird Migration Monitoring, in IEEE/ACM Transactions on Audio, Speech and Language Processing, DOI

[18] G. Richard, V. Lostanlen, Y. Yang, M. Müller. Model-Based Deep Learning for Music Information Research: Leveraging diverse knowledge sources to enhance explainability, controllability, and resource efficiency, in IEEE Signal Processing Magazine, vol. 41, no. 6, DOI

[19] L. Godet, A. Prampart, Y. Benhamadi, V. Lostanlen, P. Aumond. Temporal shift in Eurasian Blackbird Turdus merula and European Robin Erithacus rubecula song under urban pressures, in Bird Study, vol. 72, no. 4, pp. 346-358, DOI

[20] V. Lostanlen, G. Barragan-Jason, A. Elger, M. Cauchoix. Editorial: Can technology save biodiversity?, in Frontiers in Conservation Science, vol. 6, pp. 1646634, DOI

[21] 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,

[22] H. Pauget Ballesteros, P. Lalitte, V. Lostanlen, C. Fritz. Violin "Playing-In'': Disentangling Physical Change from Player Adaptation via Physical Measurements, in Acta Acustica, vol. 10, pp. 37, DOI

[23] E. Thoret, V. Lostanlen. Listening with: Minds, machines, milieux, and music (L), in Journal of the Acoustical Society of America, vol. 159, pp. 4149 – 4152, DOI

Conférences internationales avec comité de lecture et actes

[24] 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,

[25] C. Wang, E. Benetos, V. Lostanlen, E. Chew. Adaptive Time-frequency Scattering for Periodic Modulation Recognition in Music Signals, in 20th International Society for Music Information Retrieval Conference, Delft, Pays-Bas,

[26] C. Wang, V. Lostanlen, E. Benetos, E. Chew. Playing Technique Recognition by Joint Time–Frequency Scattering, in ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona (virtual), Espagne, DOI

[27] H. Han, V. Lostanlen. WAV2SHAPE: Hearing the Shape of A Drum Machine, in Forum Acusticum, Lyon, France, DOI

[28] V. Lostanlen, F. Hecker. Synopsis Seriation: A computer music piece made with time-frequency scattering and information geometry, in Journées d'Informatique Musicale 2021, Visioconférences, France,

[29] 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,

[30] P. Warrick, V. Lostanlen, M. Eickenberg, M. Homsi, A. Rodraguez, J. Anden. Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks, in 2021 Computing in Cardiology (CinC), Brno, République tchèque, DOI

[31] V. Lostanlen, M. Lagrange, L. Godet, P. Arnaud, M. Du Gardin. An interactive Human-Animal-Robot approach to distance sampling in bioacoustics, in 3rd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, Paris, France,

[32] V. Lostanlen. Renormalisation d'énergie par canal pour l'auto-calibration de réseaux de capteurs acoustiques, in Euronoise, Madeira, Portugal,

[33] M. Fuentes, D. Zhao, V. Lostanlen, M. Cartwright, C. Mydlarz, J. Bello. MONYC: Music of New York City Dataset, in Detection and Classification of Acoustic Scenes and Events (DCASE), Online, Espagne,

[34] L. Godet, V. Lostanlen. Exploring the timing of bird chorus along an anthropization gradient through a deep learning method and geomatic solutions, in International Congress for Conservation Biology 2021, Kigali, Rwanda,

[35] 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,

[36] 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,

[37] P. Baudet, M. Outidrarine, V. Lostanlen, M. Lagrange, J. Ulloa. Un processus ponctuel déterminantal fini pour l'exploration de données éco-acoustiques, in GRETSI 2022, Nancy, France,

[38] I. Nolasco, S. Singh, E. Vidaña-Vila, E. Grout, J. Morford, M. Emmerson, F. Jensen, I. Kiskin, H. Whitehead, A. Strandburg-Peshkin, L. Gill, H. Pamuła, V. Lostanlen, V. Morfi, D. Stowell. Few-shot bioacoustic event detection at the DCASE 2022 challenge, in Detection and Classification of Acoustic Scenes and Events, Nancy, France,

[39] 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

[40] 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

[41] L. Godet, A. Prampart, V. Lostanlen. Anthropization and bird song in the Loire Estuary, France, in Congrès du centenaire de l'Union Géographique Internationale (UGI), Paris, France,

[42] L. Godet, A. Prampart, V. Lostanlen, P. Aumond. Timing of dawn chorus in songbirds along an anthropization gradient: a species and community approach, in International Congress for Conservation Biology (ICCB), Kigali, Rwanda,

[43] H. Han, V. Lostanlen, M. Lagrange. Apprentissage de variété riemannienne pour l'analyse-synthèse de signaux non stationnaires, in XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023 ), Grenoble, France,

[44] I. Nolasco, B. Ghani, S. Singh, E. Vidaña-Vila, H. Whitehead, E. Grout, M. Emmerson, F. Jensen, I. Kiskin, J. Morford, A. Strandburg-Peshkin, L. Gill, H. Pamuła, V. Lostanlen, D. Stowell. Few-shot bioacoustic event detection at the DCASE 2023 challenge, in Detection and Classification of Acoustic Scenes and Events (DCASE), Tampere, Finlande,

[45] V. Lostanlen, B. Mcfee. Algorithmes d'évaluation efficaces pour la détection d'évènements sonores, in 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023), Tampere, Finlande,

[46] 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

[47] V. Lostanlen. Structure Versus Randomness in Computer Music and the Scientific Legacy of Jean-Claude Risset, in Journées d'Informatique Musicale, Marseille, France,

[48] 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,

[49] I. Moummad, N. Farrugia, R. Serizel, J. Froidevaux, V. Lostanlen. Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds, in EUSIPCO 2024: 32nd European Signal Processing Conference, Lyon, France, DOI

[50] P. Balazs, D. Haider, V. Lostanlen, F. Perfler. Trainable signal encoders that are robust against noise, in International Congress and Exposition on Noise Control Engineering (Inter-Noise), Nantes (France), France,

[51] D. Haider, F. Perfler, V. Lostanlen, M. Ehler, P. Balazs. , in INTERSPEECH, Kos, Grèce,

[52] V. Lostanlen. Towards Differentiable Motor Control of Bird Vocalizations, in Vocal Interactivity in-and-between Humans, Animals, and Robots (VIHAR), Kos, Grèce,

[53] V. Lostanlen. Phantasmagoria: Sound Synthesis After the Turing Test, in Speculative Sound Synthesis Symposium, Graz, Autriche,

[54] V. Lostanlen, L. Bouchet. Rebound Effects Make Digital Audio Unsustainable, in IEEE International Symposium on the Internet of Sounds (IS2), Erlangen, Allemagne,

[55] M. Tailleur, V. Lostanlen, J. Rivière, P. Aumond. Machine listening in a neonatal intensive care unit, in Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), Tokyo, Japon,

[56] 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,

[57] R. Abbasi, N. Holighaus, P. Balazs, V. Lostanlen, D. Penn, S. Zala. Robust Multicomponent Tracking of Ultrasonic Vocalizations, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, Inde,

[58] 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,

[59] 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,

[60] 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,

[61] R. Nenov, V. Lostanlen, P. Balazs. Robust Deconvolution with Parseval Filterbanks, in IEEE International Conference on Sampling Theory and Applications (SampTA), Vienne, Autriche,

[62] M. Carreau, S. Faucou, P. Hladik, V. Lostanlen. Un réseau de neurones frugal pour la détection bioacoustique, in GRETSI’25, Strasbourg, France,

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

[64] L. Coquet, V. Lostanlen, S. Boucenna, A. Pitti. Learning to Sing: Bio-Inspired Canary Song Generation Through Syrinx Mimicry, in Sensorimotor Interaction, Language and Embodiment of Symbols (SMILES) workshop, Prague, République tchèque,

[65] 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,

[66] 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,

[67] 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,

[68] 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,

[69] E. Thoret, V. Lostanlen. Listening is Better Understood with: Minds, Milieux, Machines and; Musics, in International Symposium on Computer Music Multidisciplinary Research (CMMR), Londres (Grande Bretagne), Royaume-Uni, DOI

[70] 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,

[71] 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

[72] V. Lostanlen, F. Hecker. Le concept de fréquence : Repères historiques et méthodologiques pour la recherche musicale, in Journées d'Informatique Musicale, Lille, France,

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

[74] L. Coquet, S. Boucenna, V. Lostanlen, A. Pitti. Modeling Avian Babbling: The Impact of Concurrent Sensory and Sensorimotor Training, in IEEE International Conference on Development and Learning (ICDL 2026), Kyoto, Japon,

[75] 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,

[76] 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

[77] V. Lostanlen. Le streaming comme infrastructure et comme mode de vie, in Rencontres nationales des recherches en musique, Saint-Denis, France,

Theses et HDR

[78] V. Lostanlen. Opérateurs convolutionnels dans le plan temps-fréquence, DOI

Autres publications

[79] V. Lostanlen. Découverte automatique de structures musicales en temps réel par la géométrie de l'information,

[80] V. Lostanlen. Prolégomènes aux réseaux de neurones multirésolution,

[81] J. Muradeli, C. Vahidi, C. Wang, H. Han, V. Lostanlen, M. Lagrange, G. Fazekas. Differentiable Time-Frequency Scattering on GPU,

[82] L. Godet, A. Prampart, V. Lostanlen, J. Nabucet, P. Aumond. Temporal structure of avian dawn chorus along an urbanization gradient, DOI

[83] V. Lostanlen, H. Han. Musical Metamerism with Time–Frequency Scattering,

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

[85] 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),

[86] V. Lostanlen, D. Haider, P. Balazs. Understanding Group Delay in Random Convnets,

Pas de plateformes référencées pour l’instant

Pas de logiciels de référencés pour l’instant