10 citations · 22 across the 8 of their papers we have counts for
5 papers · 1 filter
Fine-tuning Pre-trained Audio Models for COVID-19 Detection: A Technical Report
Daniel Oliveira de Brito, Letícia Gabriella de Souza, Marcelo Matheus Gauy +2
This technical report investigates the performance of pre-trained audio models on COVID-19 detection tasks using established benchmark datasets. We fine-tuned Audio-MAE and three P…
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…
Acoustic models of Brazilian Portuguese Speech based on Neural Transformers
Marcelo Matheus Gauy, Marcelo Finger
An acoustic model, trained on a significant amount of unlabeled data, consists of a self-supervised learned speech representation useful for solving downstream tasks, perhaps after…
Pretrained audio neural networks for Speech emotion recognition in Portuguese
Marcelo Matheus Gauy, Marcelo Finger
The goal of speech emotion recognition (SER) is to identify the emotional aspects of speech. The SER challenge for Brazilian Portuguese speech was proposed with short snippets of P…
Audio MFCC-gram Transformers for respiratory insufficiency detection in COVID-19
Marcelo Matheus Gauy, Marcelo Finger
This work explores speech as a biomarker and investigates the detection of respiratory insufficiency (RI) by analyzing speech samples. Previous work \cite{spira2021} constructed a…