This research investigates the utilization of the Natural Language Processing-based WHISPER model for decoding chicken vocalizations, with the goal of comprehending the semantics and emotions embedded in their vocal communications. By leveraging advanced acoustic analysis techniques, the study focuses on interpreting the syntax and temporal patterns inherent in the vocalizations to discern the underlying affective states of chickens. This approach facilitates a non-invasive method of monitoring poultry welfare, enhancing traditional animal welfare assessments which often rely on direct human observation and can induce stress in the animals. The principal results from the application of the WHISPER model demonstrate its efficacy in classifying various chicken vocalizations into distinct categories that reflect specific emotional states such as distress, contentment, and fear. This classification is achieved by analyzing the frequency, duration, and intensity of vocalizations, thus providing a detailed insight into the emotional well-being of the animals. Our findings indicate that real-time monitoring of chicken vocalizations using NLP techniques can significantly improve the responsiveness and precision of welfare interventions. This method reduces the need for human interaction, minimizes stress for the animals, and allows for the continuous assessment of their well-being in a farming environment. Furthermore, the research highlights the potential of NLP tools in recognizing and interpreting complex animal vocalizations, which could lead to advancements in automated animal welfare monitoring systems. This study underscores the transformative potential of integrating sophisticated computational models like the WHISPER NLP model into animal welfare practices. By providing a more humane and efficient approach to monitoring animal welfare, this research contributes to the broader field of precision livestock farming, suggesting a shift towards more scientifically informed and welfare-centric farming practices. The application of such technologies not only aids in the immediate improvement of animal welfare but also supports sustainable farming operations by promoting the health and productivity of poultry through enhanced welfare standards.
