Papers › wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Henry Zhou, Abdel-rahman Mohamed, Michael Auli
We show for the first time that learning powerful representations from speech audio alone followed by fine-tuning on transcribed speech can outperform the best semi-supervised methods while being conceptually simpler. wav2vec 2.0 masks the speech input in the latent space and solves a contrastive task defined over a quantization of the latent representations which are jointly learned. Experiments using all labeled data of Librispeech achieve 1.8/3.3 WER on the clean/other test sets. When lowering the amount of labeled data to one hour, wav2vec 2.0 outperforms the previous state of the art on the 100 hour subset while using 100 times less labeled data. Using just ten minutes of labeled data and pre-training on 53k hours of unlabeled data still achieves 4.8/8.2 WER. This demonstrates the feasibility of speech recognition with limited amounts of labeled data.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Speech Recognition | Libri-Light test-clean | wav2vec 2.0 Large-10h-LV-60k | Word Error Rate (WER) | 2.5 | #1 of 5 | Archive leaderboard | report |
| Speech Recognition | Libri-Light test-other | wav2vec 2.0 Large-10h-LV-60k | Word Error Rate (WER) | 5.0 | #1 of 5 | Archive leaderboard | report |
| Speech Recognition | LibriSpeech test-clean | wav2vec 2.0 with Libri-Light | Word Error Rate (WER) | 1.8 | #12 of 64 | Archive leaderboard | report |
| Speech Recognition | LibriSpeech test-other | wav2vec 2.0 with Libri-Light | Word Error Rate (WER) | 3.0 | #6 of 53 | Archive leaderboard | report |
| Speech Recognition | LibriSpeech test-other | wav2vec 2.0 | Word Error Rate (WER) | 4.1 | #17 of 53 | Archive leaderboard | report |
| Speech Recognition | TIMIT | wav2vec 2.0 | Percentage error | 8.3 | #1 of 22 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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