[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.03.127

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

Jeon, Heung Seok (Dept. of Computer Engineering, Konkuk University)
Na, Deayoung (School of Global Leadership, Handong Global University)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.3, 2021 , pp. 127-135 More about this Journal

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.

Keywords

laying hens; classification; MFCC; logistic regression; AUC;

Citations & Related Records

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