APA (7th ed.) Citation

Ullah, A., Ragano, A., & Hines, A. (2023). Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models.

Chicago Style (17th ed.) Citation

Ullah, Asad, Alessandro Ragano, and Andrew Hines. Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models. 2023.

MLA (9th ed.) Citation

Ullah, Asad, et al. Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models. 2023.

Warning: These citations may not always be 100% accurate.