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n3d: Speaker Diarization with 'Nemotron 3 Diarization' in R 'torch'
Determines "who spoke when" in recorded or streaming audio with a native R 'torch' implementation of the 'NVIDIA' 'Nemotron 3 Diarization' model <https://huggingface.co/nvidia/Nemotron-3-Diarization>, a Streaming 'Sortformer' that tracks up to eight speakers in order of first arrival. Log-mel feature extraction, the transformer encoder and the arrival-order speaker cache are implemented in R; weights are downloaded from 'Hugging Face' with the 'hfhub' package on request.
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Package details |
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| Author | Troy Hernandez [aut, cre] (ORCID: <https://orcid.org/0009-0005-4248-604X>), cornball.ai [cph], The HuggingFace Team [cph] (portions ported from the transformers library (Apache-2.0); see inst/COPYRIGHTS) |
| Maintainer | Troy Hernandez <troy@cornball.ai> |
| License | Apache License (>= 2) |
| Version | 0.1.0 |
| URL | https://github.com/cornball-ai/n3d |
| Package repository | View on CRAN |
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