Deep Learning Audio Spectrograms Processing to the Early COVID-19 Detection

Ciro Rodriguez Rodriguez, Daniel Angeles, Renzo Chafloque, Freddy Kaseng, Bishwajeet Pandey

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The objective of the paper is to provide a model capable of serving as a basis for retraining a convolutional neural network that can be used to detect COVID-19 cases through spectrograms of coughing, sneezing and other respiratory sounds from infected people. To address this challenge, the methodology was focused on Deep Learning technics worked with a dataset of sounds of sick and non-sick people, and using ImageNet's Xception architecture to train the model to be presented through Fine-Tuning. The results obtained were a precision of 0.75 to 0.80, this being drastically affected by the quality of the dataset at our availability, however, when getting relatively high results for the conditions of the data used, we can conclude that the model can present much better results if it is working with a dataset specifically of respiratory sounds of COVID-19 cases with high quality.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2020 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
EditoresGeetam Tomar
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas429-434
Número de páginas6
ISBN (versión digital)9781728193939
DOI
EstadoPublicada - 25 sep 2020
Evento12th International Conference on Computational Intelligence and Communication Networks, CICN 2020 - Bhimtal, India
Duración: 25 sep 202026 sep 2020

Serie de la publicación

NombreProceedings - 2020 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020

Conferencia

Conferencia12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
País/TerritorioIndia
CiudadBhimtal
Período25/09/2026/09/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

Huella

Profundice en los temas de investigación de 'Deep Learning Audio Spectrograms Processing to the Early COVID-19 Detection'. En conjunto forman una huella única.

Citar esto