Authors
Isabel Castro, Alberto De Rosa, Nirosha Priyadarshani, Leanne Bradbury, Stephen Marsland
Publication date
2019/3
Journal
Ecology and evolution
Volume
9
Issue
5
Pages
2376-2397
Description
- Autonomous recording units are now routinely used to monitor birdsong, starting to supplement and potentially replace human listening methods. However, to date there has been very little systematic comparison of human and machine detection ability.
- We present an experiment based on broadcast calls of nocturnal New Zealand birds in an area of natural forest. The soundscape was monitored by both novice and experienced humans performing a call count, and autonomous recording units.
- We match records of when calls were broadcast with detections by both humans and machines, and construct a hierarchical generalized linear model of the binary variable of correct detection or not, with a set of covariates about the call (distance, sound direction, relative altitude, and line of sight) and about the listener (age, experience, and gender).
- The results show that machines and humans have similar listening …
Scholar articles
I Castro, A De Rosa, N Priyadarshani, L Bradbury… - Ecology and evolution, 2019