Applying machine-learning based source separation techniques in the analysis of marine soundscapes-Reference-Cited by-同舟云学术

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Applying machine-learning based source separation techniques in the analysis of marine soundscapes

Published:2018-09 Issue:3 Volume:144 Page:1777-1777
ISSN:0001-4966
Container-title:The Journal of the Acoustical Society of America
language:en
Short-container-title:The Journal of the Acoustical Society of America

Author:

Lin Tzu-Hao¹,Akamatsu Tomonari²,Tsao Yu³,Fujikura Katsunori⁴

Affiliation:

1. Dept. of Marine Biodiversity Res., Japan Agency for Marine-Earth Sci. and Technol., 2-15, Natsushima, Yokosuka, Kanagawa 237-0061, Japan,

2. National Res. Inst. of Fisheries Sci., Japan Fisheries Res. and Education Agency, Ibaraki, Japan

3. Res. Ctr. for Information Technol. Innovation, Academia Sinica, Taipei, Taiwan

4. Dept. of Marine Biodiversity Res., Japan Agency for Marine-Earth Sci. and Technol., Yokosuka, Japan

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of a digital library of vocal music resources based on second-order data decomposition algorithm;Applied Mathematics and Nonlinear Sciences;2024-01-01

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