A Broiler Stress Detection System Based on Audio Signal Processing

The paper presents a system for stress detection in broiler chickens using audio data. It should be part of the precision livestock farming system whose goal is to maximize profit and product quality without harming animal wellbeing. The system is consisted of 4 classifiers adapted for 4 age groups of chickens (one for each week). These classifiers are based on support vector machines and as input features they use the features for voice quality evaluation and speech emotion recognition. Accuracy on the 50ms frame level of these classifiers varies from 63 to 83 %, depending on age group.