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Call Localization of Fat Greenling Hexagrammos otakii Using Two Stereo Underwater Recorders

机译:使用两个立体声水下录音机呼叫脂肪绿化的Hexagrammos otakii本地化

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A recent study revealed that fat greenling Hexagrammos otakii produces call sounds during the spawning season; the number of fish calls increases on the spawning day. However, it is unknown where and how many individual fat greenling produce fish calls. This behavior of fat greenling could be estimated by localizing the fish calls. We propose a sound localization method that uses two stereo recorders, which can then be used to estimate two time differences of arrival for each fish call. First, the calls of fat greenling are recorded by two stereo recorders for 3 weeks during the spawning season. Second, the calls of fat greenling are detected from the recorded data by the automatic detection algorithm, which uses the acoustic features of the fish call, and the positions of fish calls are estimated by the proposed sound localization method. The analysis of the recorded data by using the proposed method localized most of the fish calls near the spawning bed. Furthermore, the number of calling individuals may be estimated by analyzing the relation between the time the fish call is produced and its localized position.
机译:最近的一项研究表明,肥胖的绿色Hexagrammos otakii在产卵季节会发出呼叫声;产卵日鱼的数量增加。但是,尚不清楚在何处以及有多少个体的脂肪嫩绿产生鱼鳞。可以通过定位鱼的叫声来估算这种胖胖的行为。我们提出了一种声音定位方法,该方法使用两个立体声录音机,然后可以用来估计每个钓到的鱼的两个到达时间差。首先,在产卵季节,由两个立体声录音机录制了发胖的声音,持续了3周。其次,利用自动检测算法从记录的数据中检测出脂肪绿化的声音,该算法利用了鱼叫声的声学特征,并通过提出的声音定位方法估计了鱼叫声的位置。通过使用所提出的方法对记录的数据进行分析,使产卵床附近的大多数鱼类被定位。此外,可以通过分析鱼叫产生的时间与它的定位位置之间的关系来估计呼叫个体的数量。

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