AI models
W2v-BERT
Parameters
1B
Published
Aug 7, 2021
W2v-BERT is an AI model developed by Google Brain and Massachusetts Institute of Technology (MIT) (United States), first published in August 2021. It works in the speech domain, on tasks such as speech recognition (asr).
Epoch AI has no training-compute estimate for this model. The model has 1,000,000,000 parameters.
Access: Unreleased. Its weights are not openly released. The reference paper has 534 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Google Brain, Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Speech
- Task
- Speech recognition (ASR)
- Parameters
- 1,000,000,000
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 534
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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