School of Earth and Ocean Sciences, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia, V8P 5C2, Canada
Department of Biology, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia, V8P 5C2, Canada
J Acoust Soc Am. 2018 May;143(5):EL333. doi: 10.1121/1.5037359.
Although many fish are soniferous, few of their sounds have been identified, making passive acoustic monitoring (PAM) ineffective. To start addressing this issue, a portable 6-hydrophone array combined with a video camera was assembled to catalog fish sounds in the wild. Sounds are detected automatically in the acoustic recordings and localized in three dimensions using time-difference of arrivals and linearized inversion. Localizations are then combined with the video to identify the species producing the sounds. Uncertainty analyses show that fish are localized near the array with uncertainties < 50 cm. The proposed system was deployed off Cape Cod, MA and used to identify sounds produced by tautog (Tautoga onitis), demonstrating that the methodology can be used to build up a catalog of fish sounds that could be used for PAM and fisheries management.
虽然许多鱼类都会发声,但它们的声音很少被识别出来,这使得被动声学监测(PAM)效果不佳。为了解决这个问题,我们组装了一个便携式 6 水听器阵列,结合摄像机,以在野外对鱼类声音进行编目。声音会在声学记录中自动检测,并使用到达时间差和线性化反演在三维空间中定位。然后将定位与视频结合起来,以识别发出声音的物种。不确定性分析表明,鱼类在距阵列的不确定度<50cm 的范围内被定位。该系统部署在马萨诸塞州科德角外海,用于识别鲈鱼(Tautoga onitis)发出的声音,证明该方法可用于建立鱼类声音目录,用于 PAM 和渔业管理。