A dataset for systematic testing of crackle separation techniques

Pulmonary crackles are indicative of lung pathology and may be used for diagnosis and monitoring of disease. Many algorithms have been proposed to separate the crackle sounds from the breath noise, but a lack of standardized processes for evaluating their performance makes comparisons difficult. In this paper we propose a standard data set to be used for systematic comparative testing.