کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4374764 1617200 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Acoustic analysis of big ocean data to monitor fish sounds
ترجمه فارسی عنوان
تجزیه و تحلیل صوتی از داده های اقیانوس بزرگ برای نظارت بر صداهای ماهی
کلمات کلیدی
داده های بزرگ پر سر و صدا. آکوستیک اقیانوس؛ نظارت بر صدای ماهی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• The challenging task of fish sound monitoring from single channel audio has been addressed.
• The proposed feature sets are constructed based on both local and contextual information.
• The proposed feature selection is taken into account to reduce non-distinctive features.

This paper presents a novel framework for monitoring fish sounds based on acoustic analysis of noisy big ocean data. The proposed method involves multiresolution acoustic features (MRAF) extraction and RPCA (robust principal component analysis) based feature selection for monitoring of natural fish sounds produced in situ by the plainfin midshipman (Porichthys notatus); here, we investigate this fish's grunts, growls and groans. Both local and contextual information are exploited by MRAF, while sparse components of the MRAF matrix obtained through RPCA is found to be more robust to overlapping low-frequency spectral contents among different classes. The simulation results obtained from real-recorded ocean data reveal the advantages of the proposed scheme for monitoring underwater soundscapes and determining a variety of fish sounds in natural marine habitats.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 34, July 2016, Pages 102–107
نویسندگان
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