Automatic Detection and Unsupervised Clustering-Based Classification of Cetacean Vocal Signals

Automatic Detection and Unsupervised Clustering-Based Classification of Cetacean Vocal Signals

In the ocean environment, passive acoustic monitoring (PAM) is an important technique for the surveillance of cetacean species. Manual detection for a large amount of PAM data is inefficient and time-consuming. To extract useful features from a large amount of PAM data for classifying different ceta...

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Bibliographic Details
Main Authors: Yinian Liang, Yan Wang, Fangjiong Chen, Hua Yu, Fei Ji, Yankun Chen
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
passive acoustic monitoring
empirical mode decomposition
endpoint detection
unsupervised clustering
marine mammal vocal signals
Online Access:https://www.mdpi.com/2076-3417/15/7/3585
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