Study of Audio Cough Signals using Mel-Frequency Cepstral Coefficient and Neural Network Classification

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Study of Audio Cough Signals using Mel-Frequency Cepstral Coefficient and Neural Network Classification – KERAS

Published:2023-10-27 Issue: Volume: Page:821-824
ISSN:
Container-title:2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE)
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Author:

Duhina Gian Leslie L.¹,Garceron Mae Juris G.¹,Paglinawan Charmaine C.¹

Affiliation:

1. Mapua University,School of Electrical, Electronics and Computer Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10382605/10382606/10383176.pdf?arnumber=10383176

Reference13 articles.

1. The basic immunology of asthma

2. Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

3. A systemic review on tuberculosis

4. Classification of Cough as a Symptom in Adults and Management Algorithms

5. Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

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