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[Paper 리뷰] HuBERT-VIC: Improving Noise-Robust Automatic Speech Recognition of Speech Foundation Model via Variance-Invariance-Covariance Regularization
HuBERT-VIC: Improving Noise-Robust Automatic Speech Recognition of Speech Foundation Model via Variance-Invariance-Covariance RegularizationSpeech foundation model은 noise-robustness 측면에서 한계가 있음HuBERT-VICVariance, Invariance, Covariance regularization objective를 활용하여 model을 trainingNoisy speech representation의 statistics를 adjust 하여 다양한 noise type에 대한 generalization ability를 향상논문 (INTERSPEECH 2025..
Paper/Representation
2025. 9. 7. 08:09
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