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| Resource and Documentation Guide |
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| Hands-on speaker diarization tutorial notebooks for both end-to-end and cascaded systems can be found under ``<NeMo_root>/tutorials/speaker_tasks``. |
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| There are also tutorials for performing both end-to-end speaker diarization cascaded speaker diarization. |
| We also provide tutorials about getting ASR transcriptions combined with speaker labels along with voice activity timestamps with NeMo ASR collections. |
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| Most of the tutorials can be run on Google Colab by specifying the link to the notebooks' GitHub pages on Colab. |
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| If you are looking for information about a particular model used for speaker diarization inference, or would like to find out more about the model |
| architectures available in the `nemo_asr` collection, check out the :doc:`Models <./models>` page. |
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| Documentation on dataset preprocessing can be found on the :doc:`Datasets <./datasets>` page. |
| NeMo includes preprocessing scripts for several common ASR datasets, and this page contains instructions on running |
| those scripts. |
| It also includes guidance for creating your own NeMo-compatible dataset, if you have your own data. |
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| Information about how to load model checkpoints (either local files or pretrained ones from NGC), perform inference, as well as a list |
| of the checkpoints available on NGC are located on the :doc:`Checkpoints <./results>` page. |
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| Documentation for configuration files specific to the ``nemo_asr`` models can be found on the |
| :doc:`Configuration Files <./configs>` page. |
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