Seal call recognition based on general regression neural network using Mel-frequency cepstrum coefficient features

Seal call recognition based on general regression neural network using Mel-frequency cepstrum coefficient features

Abstract In this paper, general regression neural network (GRNN) with the input feature of Mel-frequency cepstrum coefficient (MFCC) is employed to automatically recognize the calls of leopard, ross, and weddell seals with widely overlapping living areas. As a feedforward network, GRNN has only one...

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Bibliographic Details
Main Authors: Qihai Yao, Yong Wang, Yixin Yang, Yang Shi
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Seal call recognition
MFCC feature
Underwater acoustic signal
GRNN
Machine learning
Online Access:https://doi.org/10.1186/s13634-023-01014-1

Internet

https://doi.org/10.1186/s13634-023-01014-1

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