文章摘要
杨昱皞,何瑞麟,戴阳,方亮,贺刘刚.时频特征的海豚发声端点检测方法研究*[J].,2023,42(5):1042-1051
时频特征的海豚发声端点检测方法研究*
The detection method of dolphin vocal endpoint based on time-frequency characteristics
投稿时间:2022-05-18  修订日期:2023-08-26
中文摘要:
      为在复杂的海洋环境噪声场中检测出目标海豚的某类声信号,设计了一种基于海豚声学特征的端点检测方法。根据海洋环境中噪声能量大且分布频率范围广,而海豚声音的时频特征具有持续时间短,、频率高且集中,、发声行为持续时间长的特点,将采集到的海洋声音进行分帧,计算单帧信号短时能量、谱质心和谱质心二阶偏移率,当海豚发出声信号时,谱质心和能量相应发生突变,截取发生突变的信号实现端点检测。通过与门限法等其他常见端点检测方法进行对比,结果表明,此方法在低信噪比的海洋环境下对单一海豚的某一类声信号检测准确度更高,同时具有较强的抗干扰能力。
英文摘要:
      In order to detect a certain kind of sound signal of target dolphins in the complex marine environment noise field, an endpoint detection method based on dolphin acoustic characteristics was designed. According to the large noise energy and wide distribution frequency range in the marine environment, the time-frequency characteristics of dolphin sound have the characteristics of short duration, high frequency and concentration, and long duration of phonation behavior. The collected ocean sound is divided into frames, and the short-time energy, spectral centroid and second-order shift rate of the single frame signal are calculated. When the dolphin sends out the sound signal, the spectral centroid and energy change correspondingly, and the signal with the change is intercepted to realize endpoint detection. Compared with other common endpoint detection methods such as threshold method, the results show that this method has higher accuracy in detecting a certain kind of sound signal of a single dolphin in the marine environment with low signal-to-noise ratio, and has strong anti-interference ability.
DOI:10.11684/j.issn.1000-310X.2023.05.018
中文关键词: 被动声学  海豚声音信号  端点检测  谱质心二阶偏移率
英文关键词: passive acoustics  Dolphin sound signal  Endpoint detection  Second order shift rate of spectral centroid
基金项目:上海市2020年度科技创新行动计划社会发展科技公关项目(20dz1206400) ;上海市青年科技英才扬帆计划(19YF1460000)
作者单位E-mail
杨昱皞 大连海洋大学 caesaryyh@163.com 
何瑞麟 大连海洋大学 ruilinhe@163.com 
戴阳* 中国水产科学研究院东海水产研究所 13162787856@163.com 
方亮 中国水产科学研究院南海水产研究所 fangliang@scsfri.ac.cn 
贺刘刚 中国水产科学研究院南海水产研究所 1164487003@qq.com 
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