Articles

  • Balestriero R., Glotin H. and B. Richard. “Interpretable and learnable super-resolution time-frequency representation.” In Mathematical and Scientific Machine Learning, pp. 118-152. PMLR, 2022. https://proceedings.mlr.press/v145/balestriero22a
  • Lehnhoff L., Glotin H., Bernard S., Dabin W., le Gall Y. et al.. (2022). Behavioural Responses of Common Dolphins Delphinus delphis to a Bio-Inspired Acoustic Device for Limiting Fishery By-Catch. Sustainability. https://hal.umontpellier.fr/hal-03820889/document
  • Poupard,M., Ferrari M., Best P., Glotin H. (2022), Passive acoustic monitoring of sperm whales and anthropogenic noise using stereophonic recordings in the Mediterranean Sea, North West Pelagos Sanctuary. In Scientific reports https://doi.org/10.1038/s41598-022-05917-1
  • Jenkins J., Paiement A., Ourmières Y., Sommer J., Verron J., Ubelmann C. and Glotin H. (2022). A DNN Framework for Learning Lagrangian Drift With Uncertainty. https://arxiv.org/pdf/2204.05891v1.pdf
  • Poupard M., Symonds H., Spong P., Glotin H. (2021) Intra-Group Orca Call Rate Modulation Estimation Using Compact Four Hydrophones Array. Frontiers in Marine Science https://doi.org/10.3389/fmars.2021.681036

  • Marie A. RochScott LindeneauGurisht Singh AuroraKaitlin E. FrasierJohn A. HildebrandGlotin H., and Simone Baumann-Pickering , “Using context to train time-domain echolocation click detectors”, The Journal of the Acoustical Society of America 149, 3301-3310 (2021) https://asa.scitation.org/doi/pdf/10.1121/10.0004992

  • Glotin H., Ferrari M., Best P., Poupard M., Thellier N., et al.. CARIMAM Report Bioacoustic Data Processing. [Research Report] DYNI LIS. 2021. https://hal.archives-ouvertes.fr/hal-03629286
  • Best P., Marzetti S., Poupard M., Ferrari M., Paris S., Marxer R., Philippe O., Gies V., Barchasz V.,, 3 Glotin H. (2020) Stereo to five channels Bombyx sonobuoys : from four years cetacean monitoring to real-time whale ship anti-collision system. Eu. Forum Acusticum https://hal.archives-ouvertes.fr/hal-03199965/document

  • Best P., Ferrari M., Poupard M., Paris S., Marxer R., Symonds H., Glotin H. (2020) Deep Learning and Domain Transfer for Orca Vocalization Detection. In International joint conference on neural networks. IEEE IJCNN, https://hal.archives-ouvertes.fr/hal-02865300/document

  • Best P., Ferrari M., Poupard M., Paris S., Ricard M., et al.. Deep Learning and Domain Transfer for Orca Vocalization Detection. International joint conference on neural networks, Jul 2020, glasgow, United Kingdom. https://hal.archives-ouvertes.fr/hal-02865300/document

  • Malige F., Djokic D., Patris J., Sousa-Lima R., Glotin H.. Use of recurrence plots for identification and extraction of patterns in humpback whale song recordings. Bioacoustics, Taylor and Francis, 2020, pp.1 – 16. https://hal.archives-ouvertes.fr/hal-03008908/document

  • Poupard M., Best P., Ferrari M., Spong P., Symonds H., Prevot J-M., Soriano T., Glotin H. (2020) From massive detections and localisations of orca at orcalab over three years to real-time survey joint to environmental conditions in Eu. Forum Acusticum https://hal.science/hal-03230841/document

Manuscripts

  • Chavin S., Glotin H, Poupard M., Best, P. Ferrari M., et al.. Automatic classification of humpback whale (Megaptera novaeangliae) vocalization in the Caribbean. Master thesis, Université de Toulon, Aix Marseille Univ, CNRS, LIS, Marseille, France. 2022 http://sabiod.lis-lab.fr/pub/CHAVIN_master_thesis.pdf

  • Ferrari M. (2020) Study of a Biosonar Based on the Modeling of a Complete Chain of Emission-Propagation-Reception with Validation on Sperm Whales, Phd Thesis, Université Picardie Jules Verne, (dir Glotin & Asch) https://hal.archives-ouvertes.fr/tel-03078625/document 

  • Glotin H, Thellier N., Best P., Poupard M., Ferrari M., et al. (2020) Rapport Mission Sphyrna Odyssey : Découvertes Ethoacoustiques de Chasses Collaboratives de Cachalots en Abysse & Impacts en Mer du Confinement COVID19 , http://sabiod.univ-tln.fr/pub/SO1.pdf

 

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