Resumen
The automated classification of respiratory sound has gained increasing attention in recent years and has been the subject of a growing number of international scientific challenges for the development of accurate classification algorithms to support clinical practice. The COVID-19 pandemic has highlighted an urgent need for such developments. In this work, an accurate algorithm for the classification of respiratory sounds?specifically, crackles, wheezes or a combination of them?is presented.