Visual fingerprints of the acoustic environment: The use of acoustic indices to characterise natural habitats
Sankupellay, Mangalam, Towsey, Michael W., Truskinger, Anthony, & Roe, Paul (2015) Visual fingerprints of the acoustic environment: The use of acoustic indices to characterise natural habitats. In IEEE International Symposium on Big Data Visual Analytics (BDVA 2015), 22-25 September 2015, Hobart, Tas.
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 statistics which describe the temporal-spectral distribution of acoustic energy and reflect content of ecological interest. We combine spectral indices to produce false-color spectrogram images. These not only reveal acoustic content but also facilitate navigation. An additional analytic challenge is to find appropriate descriptors to summarize the content of 24-hour recordings, so that it becomes possible to monitor long-term changes in the acoustic environment at a single location and to compare the acoustic environments of different locations. We describe a 24-hour ‘acoustic-fingerprint’ which shows some preliminary promise.
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|Item Type:||Conference Paper|
|Keywords:||visualisation of acoustic data, soundscape ecology, self-organising maps, acoustic environment|
|Subjects:||Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ECOLOGICAL APPLICATIONS (050100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 IEEE|
|Deposited On:||09 Oct 2015 03:04|
|Last Modified:||16 Dec 2015 07:50|
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