All Thresholds Barred: Direct Estimation of Call Density in Bioacoustic Data

arXiv:2402.15360v1 Announce Type: cross
Abstract: Passive acoustic monitoring (PAM) studies generate thousands of hours of audio, which may be used to monitor specific animal populations, conduct broad biodiversity surveys, detect threats such as poachers, and more. Machine learning classifiers for species identification are increasingly being used to process the vast amount of audio generated by bioacoustic surveys, expediting analysis and increasing the utility of PAM as a management tool. In common practice, a threshold is applied to classifier output scores, …

abstract arxiv audio biodiversity call classifiers cs.lg cs.sd data eess.as generate identification machine machine learning monitoring process q-bio.qm studies surveys threats type