Semi-automated annotation of environmental acoustic recordings
Truskinger, Anthony M. (2015) Semi-automated annotation of environmental acoustic recordings. PhD by Publication, Queensland University of Technology.
Environmental sensors collect massive amounts of audio data. This thesis investigates computational methods to support human analysts in identifying faunal vocalisations from that audio. A series of experiments was conducted to trial the effectiveness of novel user interfaces. This research examines the rapid scanning of spectrograms, decision support tools for users, and cleaning methods for folksonomies. Together, these investigations demonstrate that providing computational support to human analysts increases their efficiency and accuracy; this allows bioacoustics projects to efficiently utilise their valuable human analysts.
Impact and interest:
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|Item Type:||QUT Thesis (PhD by Publication)|
|Supervisor:||Roe, Paul & Towsey, Michael|
|Keywords:||Acoustic Sensing, Annotation, Audio, Ecology, Folksonomy, Participatory Analysis, Recording, Semi-Automated, Spectrograms|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||28 Aug 2015 06:22|
|Last Modified:||28 Aug 2015 06:22|
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