Anthony Truskinger

Anthony Truskinger
Queensland University of Technology | QUT · School of Electrical Engineering and Computer Science

PhD

Publications

Publications (43)
Article
Full-text available
Many organizations are attempting to scale ecoacoustic monitoring for conservation but are hampered at the stages of data management and analysis. We reviewed current ecoacoustic hardware, software, and standards, and conducted workshops with 23 participants across 10 organizations in Australia to learn about their current practices, and to identif...
Article
One quarter of all terrestrial native bird species have become extinct since human arrival in New Zealand, leading to a pervasive silence in many natural environments due to the decrease in native bird song. Passive acoustic techniques are a potential tool for environmental monitoring, especially for testing whether the control of mammals can rever...
Article
Context: It is notoriously difficult to estimate the size of animal populations, especially for cryptic or threatened species that occur in low numbers. Recent advances with acoustic sensors make the detection of animal populations cost effective when coupled with software that can recognise species-specific calls. Aims: We assess the potential fo...
Article
Forests on private land have a wide range of uses that span activities such as recreation, primary production and nature conservation. Traditionally, it has been difficult for researchers to access private land to undertake systematic surveys. We used mini‐acoustic sensors (Audiomoth) mailed via the postal service to overcome landholder concerns ab...
Article
Fauna surveys are traditionally manual, and hence limited in scale, expensive, and labour intensive. Low‐cost hardware and storage mean that acoustic recording now has the potential to efficiently build scale in terrestrial fauna surveys, both spatially and temporally. With this aim, we have constructed the Australian Acoustic Observatory. It provi...
Article
This study aims to recognise frog choruses using false-colour spectrograms and machine learning algorithms with acoustic indices. This can be a useful solution for improving the efficiency of long-term acoustic monitoring. Acid frogs, our target species, are a group of endemic frogs that are particularly sensitive to habitat change and competition...
Article
Full-text available
Over half of the world's tropical forests are used for timber extraction by selective logging. Even though these forests are degraded to a variable degree, they are still important for tropical forest biodiversity. It is not yet known how biodiversity is impacted during and immediately after logging, and how fast it recovers. Here, we use ecoacoust...
Article
Full-text available
Protected areas (PAs) monitoring is a technical bottleneck that limits the implementation of decision-making processes for natural resource and wildlife management. Recent methodological advances make passive acoustic monitoring and associated acoustic index analysis an increasingly suitable method for PAs monitoring. Acoustic indices are mathemati...
Article
This research explores the data selection problem in acoustic recognition of two co-existing sibling frog species from long-duration field recordings. This study explores the data selection problem in species recognition with machine learning, including instance selection and acoustic index feature selection. Our target species are two co-existing...
Article
Full-text available
In recent years, passive acoustic monitoring has emerged as a reliable method for monitoring soniferous fauna, with numerous studies finding estimates of species richness and community composition are comparable with estimates derived from conventional field surveys. Most of these studies compare point counts of forest bird communities with contemp...
Conference Paper
Full-text available
This research explores the recognition of choruses of two co-existing sibling frog species in long-duration field recordings using false-colour spectrograms and acoustic indices. Acid frogs are a group of endemic frogs that are particularly sensitive to habitat change and competition from other species. The Wallum Sedgefrog (Litoria olongburensis)...
Article
Long duration acoustic monitoring is becoming an increasingly popular approach to extend survey effort by using autonomous sensors to passively collect data over large temporal and spatial scales. This is of particular benefit when attempting to detect a species whose temporal vocalization strategy is unknown, and whose small population size reduce...
Article
Cost-effective surveys of low density koala populations are challenging, but technological developments in the acoustics field offer great potential for landscape-scale surveys and monitoring. We assessed passive acoustic recording coupled with automated call identification as a survey method for koalas Phascolarctos cinereus. Surveys targeted area...
Article
1.Selective logging in tropical forests changes the local number of animal species (alpha diversity), but it also likely affects species turnover (beta diversity). Whilst such changes are documented in many ecosystems under different disturbances, they are poorly understood in selectively logged tropical forests. 2.By using soundscape recordings ac...
Article
Full-text available
Retention forestry aims to mitigate impacts of native forestry on biodiversity, but data are limited on its effectiveness for threatened species. We used acoustics to investigate the resilience of a folivorous marsupial, the koala Phascolarctos cinereus, to timber harvesting where a key mitigation practice is landscape exclusion of harvesting. We d...
Data
The candidate models fitted for detection probability and for probability of koala occupancy using acoustic recorders to detect koala bellows. (DOCX)
Data
Site attributes for eight different forest disturbance treatments. Treatments were classified by harvest intensity and time since harvest. (DOCX)
Data
Tree species recorded in a 50 m radius around each acoustic recorder (n = 171 sites) in north-east NSW and their percentage occurrence at sites classified by conditional occupancy values of koalas. (DOCX)
Article
Full-text available
Long-duration recordings of the natural environment have many advantages in passive monitoring of animal diversity. Technological advances now enable the collection of far more audio than can be listened to, necessitating the development of scalable approaches for distinguishing signal from noise. Computational methods, using automated species reco...
Article
Full-text available
Many ecologists are using acoustic monitoring to study animals and the health of ecosystems. Technological advances mean acoustic recording of nature can now be done at a relatively low cost, with minimal disturbance, and over long periods of time. Vast amounts of data are gathered yielding environmental soundscapes which requires new forms of visu...
Article
Full-text available
Species distribution models have great potential to efficiently guide management for threatened species, especially for those that are rare or cryptic. We used MaxEnt to develop a regional-scale model for the koala Phascolarctos cinereus at a resolution (250 m) that could be used to guide management. To ensure the model was fit for purpose, we plac...
Article
Full-text available
There is global concern about tropical forest degradation, in part, because of the associated loss of biodiversity. Communities and indigenous people play a fundamental role in tropical forest management and they are often efficient at preventing forest degradation. However, monitoring changes in biodiversity due to degradation, especially at a sca...
Conference Paper
Full-text available
Acoustic recordings play an increasingly important role in monitoring terrestrial environments. However, due to rapid advances in technology, ecologists are accumulating more audio than they can listen to. Our approach to this big-data challenge is to visualize the content of long-duration audio recordings by calculating acoustic indices. These are...
Conference Paper
Full-text available
Acoustic classification of anurans (frogs) has received increasing attention for its promising application in biological and environment studies. In this study, a novel feature extraction method for frog call classification is presented based on the analysis of spectrograms. The frog calls are first automatically segmented into syllables. Then, spe...
Article
Acoustic sensors allow scientists to scale environmental monitoring over large spatiotemporal scales. The faunal vocalisations captured by these sensors can answer ecological questions, however, identifying these vocalisations within recorded audio is difficult: automatic recognition is currently intractable and manual recognition is slow and error...
Conference Paper
Full-text available
Environmental monitoring has become increasingly important due to the significant impact of human activities and climate change on biodiversity. Environmental sound sources such as rain and insect vocalizations are a rich and underexploited source of information in environmental audio recordings. This paper is concerned with the classification of r...
Conference Paper
Environmental monitoring is becoming critical as human activity and climate change place greater pressures on biodiversity, leading to an increasing need for data to make informed decisions. Acoustic sensors can help collect data across large areas for extended periods making them attractive in environmental monitoring. However, managing and analys...
Conference Paper
Acoustic sensors are increasingly used to monitor biodiversity. They can remain deployed in the environment for extended periods to passively and objectively record the sounds of the environment. The collected acoustic data must be analyzed to identify the presence of the sounds made by fauna in order to understand biodiversity. Citizen scientists...
Conference Paper
Acoustic sensing is a promising approach to scaling faunal biodiversity monitoring. Scaling the analysis of audio collected by acoustic sensors is a big data problem. Standard approaches for dealing with big acoustic data include automated recognition and crowd based analysis. Automatic methods are fast at processing but hard to rigorously design,...
Article
Raven and Song Scope are two, state-of-the-art automated sound analysis tools, based on machine learning techniques for detection of species vocalisations. Individually, these systems have been the subject of a number of reviews; however, to date there have been no comparisons made of their relative performance. This paper compares the tools based...
Conference Paper
Traditional sensor networks communicate all data to a central repository for collection and analysis. The data volumes are low so this works: data are moved. Multimedia sensor networks for environmental monitoring present a different scenario. Volumes of data are large and sensors may be located in areas of limited or poor connectivity. Typical clo...
Conference Paper
Full-text available
Acoustic sensors play an important role in augmenting the traditional biodiversity monitoring activities carried out by ecologists and conservation biologists. With this ability however comes the burden of analysing large volumes of complex acoustic data. Given the complexity of acoustic sensor data, fully automated analysis for a wide range of spe...
Article
Full-text available
Automatic species recognition plays an important role in assisting ecologists to monitor the environment. One critical issue in this research area is that software developers need prior knowledge of specific targets people are interested in to build templates for these targets. This paper proposes a novel approach for automatic species recognition...

About

43
Publications
8,793
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496
Citations
Additional affiliations
March 2013 - present
Queensland University of Technology
Position
  • Tutor
Description
  • Tutor for various units including: Fundamentals of Computer Technology, Web Applications Development, and Enterprise Software Architecture
April 2010 - October 2014
Queensland University of Technology
Position
  • PhD Student
Description
  • Environmental sensors collect massive amounts of audio data. My thesis investigates computational methods to support human analysts in identifying faunal vocalisations from that audio.
April 2009 - present
Queensland University of Technology
Position
  • Senior Research Assistant / Research Assistant
Description
  • Programmer / Software Architect / Systems Administration. Responsible for all software related work for our open source ecoacoustics software package. I design and implement systems that can manage, visualize, and expose large sets of audio data.
Education
March 2008 - July 2009
Queensland University of Technology
Field of study
  • Bachelor of Information Technology (Honours)

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