Measuring the marine soundscape of the indian ocean with southern elephant seals used as acoustic gliders of opportunity
2017
The underwater ambient sound field contains quantifiable information about the physical and biological
marine environment. The development of operational systems for monitoring in an autonomous way the
underwater acoustic signal is necessary for many applications, such as meteorology and biodiversity protection.
This paper develops a proof-of-concept study on performing marine soundscape analysis from
acoustic passive recordings of free-ranging biologged southern elephant seals (SES). A multivariate multiple
linear regression (MMLR) framework is used to predict the measured ambient noise, modeled as a multivariate
acoustic response, from SES (depth, speed, and acceleration) and environmental (wind) variables.
Results show that the acoustic contributions of SES variables affect mainly low-frequency sound pressure
levels (SPLs), while frequency bands above 3 kHz are less corrupted by SES displacement and allow a good
measure of the Indian Ocean soundscape. Also, preliminary results toward the development of a mobile
embedded weather sensor are presented. In particular, wind speed estimation can be performed from the
passive acoustic recordings with an accuracy of 2ms21, using a rather simple multiple linear model.
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