Abstract: Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct bird species worldwide. Birds are also perceived to be indicators of biodiversity due to their propensity for responding to changes in their environment. An effective, automatic wildlife monitoring system based on bird bioacoustics, which can support manual classification, can be pivotal for the protection of the environment and endangered species. In modern machine learning, real-life bird audio classification is still considered as an esoteric challeng...
(read more)
Topics: 
Artificial intelligence
Speech recognition
Machine learning