Support system of assigning label to acoustic event in pig farm by automatic extraction of acoustic event and showing both acoustic event and movie

Abstract

Porcine respiratory disease gives enormous loss to farmers. The number of sneezing increases when swine are infected with the disease. However, it is not verified that increasing the number of sneezing was occurred by swine influenza. To verifying them, under controlled infecting condition, sounds and movies were recorded. In this paper, the purpose is developing the support system to efficient assigning labels to acoustic events. First, to extract acoustic events, recorded sounds was applied frequency filter and classified by threshold level based on the signal to noise ratio. After that, both the acoustic event and movie was shown at the same time automatically. As a result, 30000 samples of acoustic events were extracted among 14 days. By using this system, observer assigned sneezing label to 67 samples in 3000 samples. The maximum speed of assigning was 200 samples per hour. Therefore assigning labels was efficient by this support system.