Sound Event Localization and Detection Using Imbalanced Real and Synthetic Data via Multi-Generator

This study proposes a sound event localization and detection (SELD) method using imbalanced real and synthetic data via a multi-generator. The proposed method is based on a residual convolutional neural network (RCNN) and a transformer encoder for real spatial sound scenes. SELD aims to classify the...

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Detalles Bibliográficos
Autores principales: Shin, Yeongseo, Chun, Chanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098578/
https://www.ncbi.nlm.nih.gov/pubmed/37050458
http://dx.doi.org/10.3390/s23073398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098578/
https://www.ncbi.nlm.nih.gov/pubmed/37050458
http://dx.doi.org/10.3390/s23073398

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