OVERCOMING OVERFITTING IN MONKEY VOCALIZATION CLASSIFICATION: USING LSTM AND LOGISTIC REGRESSION

The problem of overfitting in a classification task involving animal vocalizations, namely squirrel monkeys, golden lion tamarins, and tailed macaques, is handled in this project. Acoustic features extracted for the audio data used in this research are MFCCs. The classification of subjects was done...

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Bibliographic Details
Main Authors: Suryasatriya Trihandaru, Hanna Arini Parhusip, Abdiel Wilyar Goni
Format: Article
Language:English
Published: Universitas Pattimura 2025-04-01
Series:Barekeng
Subjects:
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/14992
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