Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM

This paper proposes a solution for events classification from a sole noisy mixture that consist of two major steps: a sound-event separation and a sound-event classification. The traditional complex nonnegative matrix factorization (CMF) is extended by cooperation with the optimal adaptive L(1) spar...

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Detalles Bibliográficos
Autores principales: Parathai, Phetcharat, Tengtrairat, Naruephorn, Woo, Wai Lok, Abdullah, Mohammed A. M., Rafiee, Gholamreza, Alshabrawy, Ossama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472059/
https://www.ncbi.nlm.nih.gov/pubmed/32764362
http://dx.doi.org/10.3390/s20164368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472059/
https://www.ncbi.nlm.nih.gov/pubmed/32764362
http://dx.doi.org/10.3390/s20164368

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