NVIDIA
Conformer-CTC model is a non-autoregressive variant of Conformer model [1] for Automatic Speech Recognition which uses CTC loss/decoding instead of Transducer. You may find more info on the detail of this model here: Conformer-CTC Model.
Running this yourself: can likely run on your own machine.
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43.3
Quality Score
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Arena ELO
Unknown
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
15 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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11.2K
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Apr 2022
Released
3/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
nvidia/stt_en_conformer_ctc_large · Hugging Face
NVIDIA published benchmark or leaderboard evidence for stt_en_conformer_ctc_large.
View sourcenvidia/stt_en_conformer_ctc_large · Hugging Face
NVIDIA published benchmark or leaderboard evidence for stt_en_conformer_ctc_large.
View source