Resource and Documentation Guide

Hands-on speaker recognition tutorial notebooks can be found under the speaker recognition tutorials folder. This and most other tutorials can be run on Google Colab by specifying the link to the notebooks’ GitHub pages on Colab.

If you are looking for information about a particular SpeakerNet model, or would like to find out more about the model architectures available in the nemo_asr collection, check out the Models page.

Documentation on dataset preprocessing can be found on the Datasets page. NeMo includes preprocessing and other scripts for speaker_recognition in <nemo/scripts/speaker_tasks/> folder, 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.

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 Checkpoints page.

Documentation for configuration files specific to the nemo_asr models can be found on the Configuration Files page.

For a clear step-by-step tutorial we advise you to refer to the tutorials found in folder.

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