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Audio Course

The Hugging Face Audio Course teaches how to apply transformers to audio data: speech recognition, audio classification and generating speech from text, training your own audio transformers from pre-trained models.

Open at Hugging Face ↗Common questions

Who it suits

  • Learners with a deep learning background and familiarity with transformers.
  • Developers interested in speech recognition, audio classification or text-to-speech.

What it covers

  • The specifics of working with audio data.
  • Different transformer architectures used for audio.
  • Training your own audio transformers with powerful pre-trained models.
  • Speech recognition, audio classification and text-to-speech tasks.

Common questions about Audio Course

What do I need first?
Hugging Face designs it for learners with a deep learning background and general familiarity with transformers; no expertise in audio processing is required.
Where do I brush up on transformers?
Hugging Face points to its NLP course, now the LLM Course, for transformer basics.
Who teaches it?
Hugging Face lists a course team led by Sanchit Gandhi, a machine learning research engineer.

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Where this comes from

Written from Hugging Face’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Hugging Face and this is not an endorsement.