AI models
RNN-WER
Parameters
26.5M
Published
Jun 22, 2014
RNN-WER is an AI model developed by DeepMind and University of Toronto (United Kingdom and Canada), first published in June 2014. 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 26,500,000 parameters.
The reference paper has 2,805 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- DeepMind, University of Toronto
- Country of organization
- United Kingdom, Canada
- Domain
- Speech
- Task
- Speech recognition (ASR)
- Parameters
- 26,500,000
- Citations
- 2,805
- Epoch confidence
- Likely
More from DeepMind,University of Toronto
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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