Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches
Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches
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DOI：
10.1121/1.5034169
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发表时间：
2018-04-01
影响因子：
2.4
通讯作者：
Akamatsu, Tomonari
中科院分区：
文献类型：
--
作者：
Lin, Tzu-Hao;Tsao, Yu;Akamatsu, Tomonari
被动声学已被用于调查的行为和相对丰度的传声鱼类。然而，由于噪声的干扰，它仍然是具有挑战性的准确分析声波鱼类的声学活动。本研究提出一种多方法的方法，它结合了基于规则的检测器，并行编码的非负矩阵分解，高斯混合模型。虽然这三种方法在安静的条件下用于检测黄花鱼合唱时表现良好，但在嘈杂的条件下观察到不一致的结果。一致性矩阵可以提供关于声学监测结果的偏差的见解。结果表明，所提出的方法可以合理地提高被动声学监测的发声鱼类。(C)2018年美国声学学会
Passive acoustics has been used to investigate behavior and relative abundances of soniferous fish. However, because of noise interferences, it remains challenging to accurately analyze acoustic activities of soniferous fish. This study proposes a multi-method approach, which combines rule-based detector, periodicity-coded non-negative matrix factorization, and Gaussian mixture models. Although the three methods performed well when used to detect croaker choruses in quiet conditions, inconsistent results are observed in noisy conditions. A consistency matrix can provide insights regarding the bias of acoustic monitoring results. The results suggest that the proposed approach can reasonably improve passive acoustic monitoring of soniferous fish. (C) 2018 Acoustical Society of America