Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification

Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estimates its temporal boundary. Although SED has been recently developed and used in various fields, achieving noise-robust SED in a real environment is typically challenging owing to the performance degr...

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Detalles Bibliográficos
Autores principales: Son, Jin-Young, Chang, Joon-Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540800/
https://www.ncbi.nlm.nih.gov/pubmed/34695930
http://dx.doi.org/10.3390/s21206718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540800/
https://www.ncbi.nlm.nih.gov/pubmed/34695930
http://dx.doi.org/10.3390/s21206718

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