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

arXiv: https://arxiv.org/abs/1807.11246 · HTML: https://mlsanity.com/paper/1807.11246/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Jul 2018.

## Built on by (most cited first, 1 of 1)

- [SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases](https://mlsanity.com/paper/2603.09853/) (2026)

## Abstract (arXiv)

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.