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README.md
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Sortformer resolves permutation problem in diarization following the arrival-time order of the speech segments from each speaker.
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## Model Architecture
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Sortformer consists of an L-size (18 layers) [NeMo Encoder for
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Sortformer resolves permutation problem in diarization following the arrival-time order of the speech segments from each speaker.
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## Discover more from NVIDIA:
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For documentation, deployment guides, enterprise-ready APIs, and the latest open models—including Nemotron and other cutting-edge speech, translation, and generative AI—visit the NVIDIA Developer Portal at [developer.nvidia.com](https://developer.nvidia.com/).
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Join the community to access tools, support, and resources to accelerate your development with NVIDIA’s NeMo, Riva, NIM, and foundation models.<br>
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### Explore more from NVIDIA: <br>
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What is [Nemotron](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/)?<br>
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NVIDIA Developer [Nemotron](https://developer.nvidia.com/nemotron)<br>
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[NVIDIA Riva Speech](https://developer.nvidia.com/riva?sortBy=developer_learning_library%2Fsort%2Ffeatured_in.riva%3Adesc%2Ctitle%3Aasc#demos)<br>
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[NeMo Documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/models.html)<br>
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## Model Architecture
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Sortformer consists of an L-size (18 layers) [NeMo Encoder for
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