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Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Ullah, Asad, Ragano, Alessandro, Hines, Andrew
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Audio and Speech Processing Computation and Language Sound
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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