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20192024
most citedAdversarial-based neural networks for affect estimations in the wild

4 citations · 10 across the 8 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.SD2021

EIHW-MTG: Second DiCOVA Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This work presents an outer product-based approach to fuse the embedded representations generated from the spectrograms of cough, breath, and speech samples for the automatic detec…

cs.SD2021

EIHW-MTG DiCOVA 2021 Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This paper aims to automatically detect COVID-19 patients by analysing the acoustic information embedded in coughs. COVID-19 affects the respiratory system, and, consequently, resp…