Write a research paper about human cough sound using ml without any plug - tlooto, The Most Powerful AcademicGPT

Abstract Cough sounds provide window into respiratory health and can be leveraged for disease detection using machine learning (ML). This paper presents a robust survey and implementation framework for automated human cough sound analysis leveraging ML, focusing on systems developed without proprietary plugins or black-box components. Drawing on peer-reviewed research, we detail the pipeline: data acquisition, pre-processing, feature extraction, model construction (classical and deep learning), and evaluation. We summarize applications for disease screening (such as pneumonia and COVID-19), discuss methodological challenges—including dataset diversity, noise, and specificity—and suggest prospects for real-world deployment. --- Introduction Coughing is a cardinal symptom in a broad array of respiratory diseases, including pertussis, croup, pneumonia, asthma, tuberculosis, and COVID-19. Its ubiquity and auditory distinctness make it a non-invasive biomarker for detection and rapid screen