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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |