Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification

Acoustic scene classification (ASC) tries to inference information about the environment using audio segments. The inter-class similarity is a significant issue in ASC as acoustic scenes with different labels may sound quite similar. In this paper, the similarity relations amongst scenes are correla...

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Detalles Bibliográficos
Autores principales: Zheng, Weiping, Mo, Zhenyao, Zhao, Gansen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747283/
https://www.ncbi.nlm.nih.gov/pubmed/35009578
http://dx.doi.org/10.3390/s22010036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747283/
https://www.ncbi.nlm.nih.gov/pubmed/35009578
http://dx.doi.org/10.3390/s22010036

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