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Ar-DAD: Arabic diversified audio dataset
The automatic identification and verification of speakers through representative audio continue to gain the attention of many researchers with diverse domains of applications. Despite this diversity, the availability of classified and categorized multi-purpose Arabic audio libraries is scarce. There...
Autores principales: | Lataifeh, Mohammed, Elnagar, Ashraf |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689366/ https://www.ncbi.nlm.nih.gov/pubmed/33294506 http://dx.doi.org/10.1016/j.dib.2020.106503 |
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