NVIDIA
This model extracts speaker embeddings from given speech, which is the backbone for speaker verification and diarization tasks. It is a "large" version of TitaNet (around 23M parameters) models. See the model architecture section and NeMo documentation for complete architecture details.
Running this yourself: can likely run on your own machine.
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27.8
Quality Score
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Arena ELO
23M
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.
13 of 22 public signals
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231.9K
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Jul 2022
Released
3/5 signals
1/4 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