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Published May 18, 2021 | Version 1.0
Dataset Open

Audio-based Containers Manipulation Setup 2 (ACM-S2)

  • 1. Queen Mary University of London

Description

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).

Files

ACM-S2_dataset.zip

Files (11.2 MB)

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Additional details

Related works

Is supplemented by
Preprint: (https://arxiv.org/abs/2103.15999 (Handle)
Dataset: 10.17636/101CORSMAL1 (DOI)

Funding

CORSMAL: Collaborative object recognition, shared manipulation and learning EP/S031715/1
UK Research and Innovation