
R-Spin, a data-efficient domain-specific self-supervision method, learns speaker and noise-invariant speech representations by predicting discrete acoustic units while improving robustness to diverse acoustic environments.


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robust-and-efficient-self-supervised-learning-for-speaker-and-noise-invariant-speech-representations


Robust and Efficient Self-Supervised Learning for Speaker and Noise-Invariant Speech Representations
