M. Esposito
Key publications
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Giordano, B. L., Esposito, M., Valente, G., & Formisano, E. (2023). Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds. Nature Neuroscience, 26(4), 664-672. https://doi.org/10.1038/s41593-023-01285-9More information about this publication
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2024). Bridging auditory perception and natural language processing with semantically informed deep neural networks. Scientific Reports, 14(1), Article 20994. https://doi.org/10.1038/s41598-024-71693-9More information about this publication
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2023). Semantically-Informed Deep Neural Networks For Sound Recognition. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings IEEE. https://doi.org/10.1109/ICASSP49357.2023.10095606More information about this publication
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Giordano, B. L., Esposito, M., Valente, G., & Formisano, E. (2023). Comparing acoustic, semantic, and deep neural network models of natural sound representation in perceived dissimilarity and cerebral fMRI responses. Journal of the Acoustical Society of America, 153(Supplement 3), Article A363. https://doi.org/10.1121/10.0019173More information about this publication
Recent publications
Other publications
Esposito M., Giordano B.L., Valente G., Formisano E. Evaluating the impact of multiscale temporal processing on sound-to-event recurrent neural networks. CCN 2024, Boston, MA. https://hal.science/hal-04732884/
Wijngaard, G., Formisano, E., Esposito, M., & Dumontier, M. (2025). Audio-Language Datasets of Scenes and Events: A Survey. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10854210/
Maria Araújo, Marie Plegat, Giorgio Marinato, Michele Esposito, Christian Herff, et al.. Optimal stimulus selection for dissociating acoustic and semantic processing of natural sounds. 2024 Conference on Cognitive Computational Neuroscience, 2024, Boston (MA), United States. ⟨hal-04732871⟩