This is an OpenVINO IR conversion of NVIDIA's nvidia/Nemotron-3-Diarization speaker diarization model ("who spoke when"). It was made for Scrybe, a local Windows transcription app, to add speaker labels ("Speaker 1", "Speaker 2",...) to transcripts on Intel CPUs and GPUs. Not affiliated with or endorsed by NVIDIA. This is an independent conversion. For the original model, its training data, evaluation and responsible-use information, see NVIDIA's model card. The IR holds one offline processing step of the model: the feature embedder, the 31-layer encoder, the projection, the upsampler and the speaker classifier. It does not include the audio front end or the speaker-cache logic. The calling…
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Shameez
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