35 citations · 51 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Framework for Multi-f0 Modeling in SATB Choir Recordings
Helena Cuesta, Emilia Gómez, Pritish Chandna
Fundamental frequency (f0) modeling is an important but relatively unexplored aspect of choir singing. Performance evaluation as well as auditory analysis of singing, whether indiv…
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
Emilia Gómez, Merlijn Blaauw, Jordi Bonada +2
This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in…