wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Table 8: WER on the Librispeech dev/test sets when training on the Libri-light low-resource labeled data setups (cf. Table 1).
['Model', 'Unlabeled data', 'LM', 'dev clean', 'dev other', 'test clean', 'test other']
Larger capacity decreases error rates: Large on LS-960 improves the word error rate on dev-clean from 46.1 to 43 compared to Base.