Semi-automated annotation of environmental acoustic recordings
Data(s) |
2015
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/84543/8/Anthony_Truskinger_Thesis.pdf Truskinger, Anthony M. (2015) Semi-automated annotation of environmental acoustic recordings. PhD by Publication, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Acoustic Sensing #Annotation #Audio #Ecology #Folksonomy #Participatory Analysis #Recording #Semi-Automated #Spectrograms |
Tipo |
Thesis |