Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons-Reference-Cited by-同舟云学术

Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons

Published:2024-05 Issue: Volume:80 Page:102457
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Lakdari Mohamed Walid,Ahmad Abdul Hamid,Sethi Sarab,Bohn Gabriel A.,Clink Dena J.

Publisher

Elsevier BV

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