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Real-time Laying Hens Sound Analysis System using MFCC Feature Vectors

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(3), pp.127-135
  • DOI : 10.9708/jksci.2021.26.03.127
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 10, 2021
  • Accepted : March 25, 2021
  • Published : March 31, 2021

Heung Seok Jeon 1 Deayoung Na 2

1건국대학교
2한동대학교

Accredited

ABSTRACT

Raising large numbers of animals in very narrow environments such as laying hens house can be very damaged from small environmental change. Previously researched about laying hens sound analysis system has a problem for applying to the laying hens house because considering only the limited situation of laying hens house. In this paper, to solve the problem, we propose a new laying hens sound analysis model using MFCC feature vector. This model can detect 7 situations that occur in actual laying hens house through 9 kinds of laying hens sound analysis. As a result of the performance evaluation of the proposed laying hens sound analysis model, the average AUC was 0.93, which is about 43% higher than that of the frequency feature analysis method.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.