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Resource and Documentation Guide |
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Hands-on speaker recognition tutorial notebooks can be found under |
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`the speaker recognition tutorials folder <https://github.com/NVIDIA/NeMo/tree/stable/tutorials/speaker_tasks/>`_. This and most other 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 SpeakerNet model, or would like to find out more about the model |
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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. |
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NeMo includes preprocessing and other scripts for speaker_recognition in <nemo/scripts/speaker_tasks/> folder, and this page contains instructions on running |
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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 |
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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 |
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:doc:`Configuration Files <./configs>` page. |
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For a clear step-by-step tutorial we advise you to refer to the tutorials found in `folder <https://github.com/NVIDIA/NeMo/tree/stable/tutorials/speaker_tasks/>`_. |
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