Automated acoustic detection of fin whale calls off Kushiro-Tokachi at the deep sea floor observatory

I. Matsuo, T. Akamatsu, R. Iwase, K. Kawaguchi
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引用次数: 5

Abstract

Automatic acoustic detection and tracking were useful methods for understanding the behavior and population of marine animals. The seismometer and hydrophones were set in the ocean bottom off Kushiro in Japan. The acoustic data were recorded at a sampling frequency of 100 samples per second by 4 ocean bottom hydrophones. The fin whale calls, consisting a frequency down sweep in the range 20-15 Hz with duration of about 1 second, were recorded at these data. In this paper, the fin whales calls were automatically detected by extracting such down sweep signals from the acoustic data at 1457 days, ranging from 2009 to 2012. The acoustic data were transformed into the spectrogram by using short FFT. The fin whale calls were detected by computing the correlation between the measured spectrogram and the criterion spectrogram, which was computed from the typical fin whale call, at each time. It was demonstrated that the call detections increased from October to February. In addition, the movements of the fin whales could be estimated by temporal changes of time differences between calls detected at two hydrophones.
在深海观测站对长须鲸呼叫的自动声学探测
声学自动探测和跟踪是了解海洋动物行为和种群的有效方法。地震仪和水听器被安装在日本钏路附近的海底。声学数据由4个海底水听器以每秒100个样本的采样频率记录。这些数据记录了长须鲸的叫声,其频率在20-15赫兹范围内,持续时间约为1秒。本文通过从2009年至2012年1457天的声学数据中提取这种向下扫描信号,自动检测长须鲸的叫声。利用短FFT将声波数据转换成谱图。通过计算每次测量的谱图和标准谱图之间的相关性来检测长须鲸的叫声,标准谱图是从典型的长须鲸叫声中计算出来的。结果表明,从10月到2月,呼叫检测增加。此外,长须鲸的运动可以通过两个水听器之间的时间差的变化来估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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