A Task-Adaptive Parameter Transformation Scheme for Model-Agnostic-Meta-Learning-Based Few-Shot Animal Sound Classification

A Task-Adaptive Parameter Transformation Scheme for Model-Agnostic-Meta-Learning-Based Few-Shot Animal Sound Classification

Deep learning models that require vast amounts of training data struggle to achieve good animal sound classification (ASC) performance. Among recent few-shot ASC methods to address the data shortage problem regarding animals that are difficult to observe, model-agnostic meta-learning (MAML) has show...

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Bibliographic Details
Main Authors: Jaeuk Moon, Eunbeen Kim, Junha Hwang, Eenjun Hwang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
animal sound classification
bioacoustics classification
deep learning
few-shot learning
meta-learning
MAML
Online Access:https://www.mdpi.com/2076-3417/14/3/1025

Internet

https://www.mdpi.com/2076-3417/14/3/1025

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