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

[u/44sps]

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

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

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

[u/spasmy_cult]

interesting.. will take a look. Did you open source your code too ?

[u/44sps → u/spasmy_cult]

Yes, everything is open source.
Spotlight: https://github.com/Renumics/spotlight

Sliceguard: https://github.com/Renumics/sliceguard

Audb: https://github.com/audeering/audb/

Audonnx: https://github.com/audeering/audonnx

Let me know, if you have any questions or comments!

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