José Ramón Gómez-Armenta, Humberto Pérez-Espinosa, José Alberto Fernández-Zepeda, Verónica Reyes-Meza
Barking and other dog vocalizations have acoustic properties related to emotions, physiological reactions, attitudes, or some particular internal states. In the field of intelligent audio analysis, researchers use methods based on signal processing and machine learning to analyze the digitized acoustic signals' properties and obtain relevant information. The present work describes a method to classify the identity, breed, age, sex, and context associated with each bark. This information can support the decisions of people who regularly interact with animals, such as dog trainers, veterinarians, rescuers, police, people with visual impairment...
April 20, 2024: Behavioural Processes