publication . Article . 2017

Comparison of semiautomated bird song recognition with manual detection of recorded bird song samples

Anna Rodgers; Ken A. McIlwrick; Marc J. Mazerolle; Stephen B. Holmes; Lisa A. Venier; Dean G. Thompson;
Open Access
  • Published: 01 Dec 2017 Journal: Avian Conservation and Ecology, volume 12 (issn: 1712-6568, Copyright policy)
  • Publisher: Resilience Alliance, Inc.
Automated recording units are increasingly being used to sample wildlife populations. These devices can produce large amounts of data that are difficult to process manually. However, the information in the recordings can be summarized with semiautomated sound recognition software. Our objective was to assess the utility of the semiautomated bird song recognizers to produce data useful for conservation and sustainable forest management applications. We compared detection data generated from expert-interpreted recordings of bird songs collected with automated recording units and data derived from a semiautomated recognition process. We recorded bird songs at 109 s...
free text keywords: automated recording units, boreal forest birds, detection probability, point counts, song recognition, song recognizer software, Plant culture, SB1-1110, Environmental sciences, GE1-350, Plant ecology, QK900-989, Cartography, Biology, Ecology
Any information missing or wrong?Report an Issue