This research investigates techniques to analyse long duration acoustic recordings to help ecologists monitor birdcall activities. It designs a generalized algorithm to identify a broad range of bird species. It allows ecologists to search for arbitrary birdcalls of interest, rather than restricting them to just a very limited number of species on which the recogniser is trained. The algorithm can help ecologists find sounds of interest more efficiently by filtering out large volumes of unwanted sounds and only focusing on birdcalls
Environmental acoustic recordings can be used to perform avian species richness surveys, whereby a t...
This paper considers computer-assisted learning of sound spectra in environmental recordings to faci...
Recent work in machine learning concerns the detection and identification of bird\ud species from au...
Acoustic recordings of the environment provide an effective means to monitor bird species diversity....
Bioacoustic data can be used for monitoring animal species diversity. The deployment of acoustic sen...
This thesis contributes novel computer-assisted techniques to facilitating bird species surveys from...
Advances in programmable field acoustic sensors provide immense data for bird species study. Manuall...
Bioacoustic monitoring has become a significant research topic for species diversity conservation. D...
Bird species richness survey is one of the most intriguing ecological topics for evaluating environm...
The primary purpose for pursuing this research is to present a modular approach that enables reliabl...
Analysing behavioural patterns of bird species in a certain region enables researchers to recognize ...
Acoustic sensors can be used to estimate species richness for vocal species such as birds. They can ...
Biodiversity monitoring has become a critical task for governments and ecological research agencies ...
Birds have been long monitored manually, which is very labor intensive. This work tries to explore a...
Acoustic recordings have been shown to be an effective way to conduct avian species surveys, whereby...
Environmental acoustic recordings can be used to perform avian species richness surveys, whereby a t...
This paper considers computer-assisted learning of sound spectra in environmental recordings to faci...
Recent work in machine learning concerns the detection and identification of bird\ud species from au...
Acoustic recordings of the environment provide an effective means to monitor bird species diversity....
Bioacoustic data can be used for monitoring animal species diversity. The deployment of acoustic sen...
This thesis contributes novel computer-assisted techniques to facilitating bird species surveys from...
Advances in programmable field acoustic sensors provide immense data for bird species study. Manuall...
Bioacoustic monitoring has become a significant research topic for species diversity conservation. D...
Bird species richness survey is one of the most intriguing ecological topics for evaluating environm...
The primary purpose for pursuing this research is to present a modular approach that enables reliabl...
Analysing behavioural patterns of bird species in a certain region enables researchers to recognize ...
Acoustic sensors can be used to estimate species richness for vocal species such as birds. They can ...
Biodiversity monitoring has become a critical task for governments and ecological research agencies ...
Birds have been long monitored manually, which is very labor intensive. This work tries to explore a...
Acoustic recordings have been shown to be an effective way to conduct avian species surveys, whereby...
Environmental acoustic recordings can be used to perform avian species richness surveys, whereby a t...
This paper considers computer-assisted learning of sound spectra in environmental recordings to faci...
Recent work in machine learning concerns the detection and identification of bird\ud species from au...