Respiratory Sound Classification Using Long-Short Term Memory

2020/08/06 by Chelsea D. Villanueva, Villanueva, Chelsea, Joshua Vincent +5
Computer Science · Medicine · #Music and Audio Processing #Speech and Audio Processing #Phonocardiography and Auscultation Techniques

paper · pdf · doi:10.48550/arxiv.2008.02900

Abstract

Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines the difficulties that exist when attempting to perform sound classification as it relates to respiratory disease classification. Some methods which have been employed such as independent component analysis and blind source separation are examined. Finally, an examination on the use of deep learning and long short-term memory networks is performed in order to identify how such a task can be implemented.

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