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Audio-based Containers Manipulation Setup 2 (ACM-S2) is a dataset for the validation of audio-based models for the task of filling type and filling level classification. This dataset contains 21 recordings acquired in a different setup than the CORSMAL Containers Manupulation dataset, recorded with a different microphone, room and containers, providing a new scenario with different acoustics. The recordings are in .wav format and correspond to 19 pouring and 2 shaking actions, performed manually by a human. The microphone used is a Blue Yeti Studio microphone, placed on a table, facing the container at 12 cm for the pouring action, and 20 cm for the shaking action. The used containers are a medium glass (300 ml), tall glass (450 ml), small plastic cup (200 ml), and muesli box (300 ml). The filling types (materials) are: pasta penne (Gallo plumas nº6), white rice (Arroz SOS), and tap water, and the filling levels (%) are 0 (empty), 50, and 90. The dataset was used in the paper Audio classification of the content of food containers and drinking glasses (Webpage).
Audio Classification, Object properties recognition
Audio Classification, Object properties recognition
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