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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ullah, Asad, Ragano, Alessandro, Hines, Andrew
Format:	Preprint
Published:	2023
Subjects:	Audio and Speech Processing Computation and Language Sound
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2309.12763