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arXiv · 1807.11246

DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics

Gert Dekkers·Lode Vuegen·Toon van Waterschoot·Bart Vanrumste·Peter Karsmakers
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Abstract

The DCASE 2018 Challenge consists of five tasks related to automatic classification and detection of sound events and scenes. This paper presents the setup of Task 5 which includes the description of the task, dataset and the baseline system. In this task, it is investigated to which extent multi-channel acoustic recordings are beneficial for the purpose of classifying domestic activities. The goal is to exploit spectral and spatial cues independent of sensor location using multi-channel audio. For this purpose we provided a development and evaluation dataset which are derivatives of the SINS database and contain domestic activities recorded by multiple microphone arrays. The baseline system, based on a Neural Network architecture using convolutional and dense layer(s), is intended to lower the hurdle to participate the challenge and to provide a reference performance.

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BibTeXRIS

Gert Dekkers, Lode Vuegen, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers. 2018-07-30. DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics. https://arxiv.org/abs/1807.11246

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