AI models
LF-MMI
Parameters
16.6M
Published
Sep 8, 2016
LF-MMI is an AI model developed by Johns Hopkins University and Cornell University (United States), first published in September 2016. 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 16,600,000 parameters. It was trained on roughly 720K datapoints.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Johns Hopkins University, Cornell University
- Country of organization
- United States
- Domain
- Speech
- Task
- Speech recognition (ASR)
- Parameters
- 16,600,000
- Dataset size
- 720K
- Model accessibility
- Unreleased
- Open weights
- No
- 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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