AfriHuBERT
AfriHuBERT is a compact self-supervised speech representation model based on mHuBERT-147, continually pretrained via multilingual adaptive finetuning on over 10,000 hours of speech spanning more than 1,200 African languages and varieties. It improves spoken language identification and ASR over its base model and acts as an encoder for downstream African speech tasks. Its training data was aggregated from sources including BibleTTS, Kallaama, NaijaVoices and NCHLT.
- Category
- AI Resources
- Pricing
- Open weights
- Country
- 🌍 Pan-African
- Last verified
- 10 Jul 2026
Verification history
- 10 Jul 2026 · live
- 7 Jul 2026 · live
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