Vaibhavs10/ml-with-audio

HF's ML for Audio study group

35
/ 100
Emerging

Covers end-to-end audio ML topics including automatic speech recognition, text-to-speech synthesis, source separation, and speaker identification through structured weekly sessions with video presentations and paper discussions. Structured around curated learning paths using foundational resources like Speech & Language Processing alongside hands-on notebooks, with integration to toolkits like SpeechBrain and ESPnet for implementation. Community-driven format encourages collaborative exploration via Discord, with supplementary research papers and interactive Hugging Face Spaces demos for experimentation.

202 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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202

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29

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Jupyter Notebook

License

Last pushed

Feb 27, 2023

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