Birds being high up in the food chain and integrate changes occurring at lower levels, they are excellent indicators of habitat quality and environmental pollution. However, it is often easier to hear birds than see them. With proper sound detection and classification, it could possible to automatically infer factors about an area’s quality of life based on a changing bird population.
This project preprocesses audio input to reduce ambient noise before passing it through several machine learning algorithms in order to classify the species of the bird.