Species-independent analysis and identification of emotional animal vocalizations.

ABSTRACT: Animal vocalizations can differ depending on the context in which they are produced and serve as an instant indicator of an animal's emotional state. Interestingly, from an evolutional perspective, it should be possible to directly compare different species using the same set of acoustic markers. This paper proposes a deep neural network architecture for analysing and recognizing vocalizations representing positive and negative emotional states. Understanding these vocalizations is critical for advancing animal health and welfare, a subject of growing importance due to its ethical, environmental, economic, and public health implications. To this end, a framework assessing the relationships between vocalizations was developed. Towards keeping all potentially relevant audio content, the cons

SUBMITTER: Ntalampiras S 

PROVIDER: S-EPMC12329008 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature