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

机译:鲸鱼的自动声学检测在深海海底观测站召唤Ku路十胜

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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.
机译:自动声音检测和跟踪是了解海洋动物行为和种群的有用方法。地震仪和水听器安装在日本Ku路市的海底。由4个海底水听器以每秒100个样本的采样频率记录声学数据。在这些数据上记录了鲸鱼的鸣叫,包括在20–15 Hz范围内的频率向下扫描,持续时间约1秒钟。在本文中,通过从2009年至2012年的1457天从声学数据中提取出此类下扫信号,自动检测了鲸鱼的鸣叫。通过短FFT将声学数据转换为频谱图。每次通过计算测得的频谱图和标准频谱图之间的相关性(通过典型的鲸鱼呼叫计算得出)来检测长须鲸。事实证明,从10月到2月,呼叫检测量有所增加。另外,可以通过在两个水听器处检测到的呼叫之间的时间差的时间变化来估计鲸鱼的运动。

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