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Respiratory Sound Classification Using Long-Short Term Memory

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Document pages: 7 pages

Abstract: Developing a reliable sound detection and recognition system offers manybenefits and has many useful applications in different industries. This paperexamines the difficulties that exist when attempting to perform soundclassification as it relates to respiratory disease classification. Somemethods which have been employed such as independent component analysis andblind source separation are examined. Finally, an examination on the use ofdeep learning and long short-term memory networks is performed in order toidentify how such a task can be implemented.

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