https://zenodo.org/records/22042882
MaMa Sounds is a behaviourally normed database of 1,377 standardized natural sounds representing 240 expert-defined source-action classes. The resource combines standardized audio with detailed behavioural characterization from human listeners and is designed to support stimulus selection, matching, and continuous modelling in auditory cognition and neuroscience. (see https://zenodo.org/records/22042882)
https://huggingface.co/gijs/aces-roberta-base-13
Model to classify tokens of sound captions with auditory semantic tags (Who/What/How/Where) (see https://arxiv.org/abs/2403.18572)
https://doi.org/10.5061/dryad.0p2ngf258
Here you can download data and code from: Intermediate acoustic-to-semantic representations link behavioural and neural responses to natural sounds. Bruno L. Giordano, Michele Esposito, Giancarlo Valente, Elia Formisano (2023) Nature Neuroscience, 26(4):664-672. https://www.nature.com/articles/s41593-023-01285-9
https://figshare.com/articles/dataset/Data_from_What_do_we_mean_with_sound_semantics_exactly_A_survey_of_taxonomies_and_ontologies_of_everyday_sounds/20813626
Here you can download the data from: Giordano BL, de Miranda Azevedo R, Plasencia-Calaña Y, Formisano E, Dumontier M (2022). What do we mean with sound semantics, exactly? A survey of taxonomies and ontologies of everyday sounds. Front Psychol. 2022 13:964209. https://doi.org/10.3389/fpsyg.2022.964209
http://datadryad.org/resource/doi:10.5061/dryad.np4hs
Here you can download (F)MRI data and stimuli from: Santoro R, Moerel M, De Martino F, Valente G, Ugurbil K, Yacoub E, Formisano E (2017) Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns. Proceedings of the National Academy of Sciences of the United States of America 114(18): 4799 4804. https://doi.org/10.1073/pnas.1617622114