Speakerverification_en_titanet_large
NVIDIA's Speakerverification_en_titanet_large is an open-source audio model that excels at extracting speaker embeddings from speech, which is essential for speaker verification and diarization tasks. It is particularly effective due to its large size, with around 23M parameters, and its depth-wise separable conv1D architecture.
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Frequently asked questions about Speakerverification_en_titanet_large
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
NVIDIA has not published a context window for Speakerverification_en_titanet_large, so the catalog shows it as not available rather than estimating one.
Yes. Speakerverification_en_titanet_large is an open-weight model released under the Cc by 4.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Speakerverification_en_titanet_large accepts Audio and produces Embedding. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Speakerverification_en_titanet_large is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Speakerverification_en_titanet_large is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
NVIDIA has not published a parameter count for Speakerverification_en_titanet_large, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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