most citedMaking More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation

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cs.SD2024

ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets

Jiatong Shi, Shih-Heng Wang, William Chen +8

ML-SUPERB evaluates self-supervised learning (SSL) models on the tasks of language identification and automatic speech recognition (ASR). This benchmark treats the models as featur…