[P] Hands-on open-source workflows for voice AI

Hey r/MachineLearning,

we made a tutorial that showcases typical workflows and tooling for voice analytics applications. The tutorial is intended for intermediate-level ML practitioners.

The walkthrough is purely based on open source software and covers:

1. Efficient interactive data exploration and inspection
2. Dataset handling and inference on pre-trained models
3. Model debugging and identification of critical data clusters
4. Model comparison and selection

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https://i.redd.it/j15gk3kkgyqb1.gif

🔗 Blog with code: https://medium.com/p/dbfd923a5a79#432e-3559ae606f80

🤗 Interactive demo: https://huggingface.co/spaces/renumics/emodb-model-debugging

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analytics applications data data exploration dataset debugging exploration hey inference interactive intermediate machinelearning open source open source software pre-trained models software tooling tutorial voice voice ai voice analytics walkthrough workflows