Automated birdsong recognition in complex acoustic environments: a review

By Nirosha Priyadarshani, Stephen R. Marsland, I. Castro. 2018

257 citations recorded by the source corpus.

Subfields: Developmental Biology, Ecology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/35d14c6f84955c0ec8bc27b03fcbe6c729538a7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Developmental Biology

1. Toby Gifford
2. Berndt J. Rensburg
3. Martine Maron
4. Simon Linke
5. C. Desjonquères
6. Daniella Teixeira

In Ecology

1. Toby Gifford
2. Simon Linke
3. C. Desjonquères

Citations in the corpus

• Bioacoustic monitoring of animal vocal behavior for conservation (2019, background): “…software, assist enormously in making recognizer development accessible to the non-expert (i.e., people without expert programming skills), which is crucial if bioacoustics is to become widely applied in threatened species monitoring (Priyadarshani et al., 2018; Sebastián-González et al., 2015).”
• Passive acoustic monitoring as a potential tool to survey animal and ecosystem processes in freshwater environments (2019, background): “The success of the detection of sounds in environments can be hindered by the presence of noise and other masking sounds such as other species calling simultaneously (Priyadarshani et al., 2018).”
• Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research (2021, unknown): “2017, Priyadarshani et al .”