Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks

Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks

Sound classification plays a crucial role in enhancing the interpretation, analysis, and use of acoustic data, leading to a wide range of practical applications, of which environmental sound analysis is one of the most important. In this paper, we explore the representation of audio data as graphs i...

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Bibliographic Details
Main Authors: Andrés Eduardo Castro-Ospina, Miguel Angel Solarte-Sanchez, Laura Stella Vega-Escobar, Claudia Isaza, Juan David Martínez-Vargas
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
ecoacoustics
environmental sound classification
graph neural networks
graph representation learning
node classification
pre-trained models
Online Access:https://www.mdpi.com/1424-8220/24/7/2106

Internet

https://www.mdpi.com/1424-8220/24/7/2106

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