2 citations · 2 across the 4 of their papers we have counts for
4 papers
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation
Marcelo Matheus Gauy, Natalia Hitomi Koza, Ricardo Mikio Morita +7
We contrast high effectiveness of state of the art deep learning architectures designed for general audio classification tasks, refined for respiratory insufficiency (RI) detection…
Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Cândido +9
This work investigates Artificial Intelligence (AI) systems that detect respiratory insufficiency (RI) by analyzing speech audios, thus treating speech as a RI biomarker. Previous…
Interpretability Analysis of Deep Models for COVID-19 Detection
Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris +8
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis…
Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models
Lucas Rafael Stefanel Gris, Arnaldo Candido Junior, Vinícius G. dos Santos +4
The NURC Project that started in 1969 to study the cultured linguistic urban norm spoken in five Brazilian capitals, was responsible for compiling a large corpus for each capital.…