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End-to-end Jordanian dialect speech-to-text self-supervised learning framework
Speech-to-text engines are extremely needed nowadays for different applications, representing an essential enabler in human–robot interaction. Still, some languages suffer from the lack of labeled speech data, especially in the Arabic dialects or any low-resource languages. The need for a self-super...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815896/ https://www.ncbi.nlm.nih.gov/pubmed/36618013 http://dx.doi.org/10.3389/frobt.2022.1090012 |