Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring.

ABSTRACT: Automatic classification of animal vocalizations has great potential to enhance the monitoring of species movements and behaviors. This is particularly true for monitoring nocturnal bird migration, where automated classification of migrants' flight calls could yield new biological insights and conservation applications for birds that vocalize during migration. In this paper we investigate the automatic classification of bird species from flight calls, and in particular the relationship between two different problem formulations commonly found in the literature: classifying a short clip containing one of a fixed set of known species (N-class problem) and the continuous monitoring problem, the latter of which is relevant to migration monitoring. We implemented a state-of-the-art audio classi

SUBMITTER: Salamon J 

PROVIDER: S-EPMC5120805 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature