• Meenaz Kolyal
• S.A.Quadri
• Anil Pawar

Regardless of age, a substantial amount of people lose their lives to chronic lung diseases every year. Accurate diagnosis of pulmonary diseases has relied on sound analysis of the lungs. Before now, lung disorders were detected manually, but this wasn't a reliable procedure due to a variety of factors, including limited audibility and variability in how doctors and specialists interpreted various noises. Patients suffering from various types of lung disorders are offered a more effective course of treatment as a result of the considerably more accurate results produced by modern computational analysis. Asthma, bronchitis, COPD, tuberculosis, and pneumonia are some of these illnesses.

Respiratory diagnosis, Voice detection, Machine learning and CNN.

"A VOICE RECOGNITION-BASED MACHINE LEARNING APPROACH FOR IDENTIFYING RESPIRATORY ISSUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.a246-a254, August-2022, Available :http://www.jetir.org/papers/JETIR2208034.pdf

"A VOICE RECOGNITION-BASED MACHINE LEARNING APPROACH FOR IDENTIFYING RESPIRATORY ISSUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppa246-a254, August-2022, Available at : http://www.jetir.org/papers/JETIR2208034.pdf