AI Resources
African-Whisper vs Kallaama
A verified, side-by-side comparison. Both records are status-checked by Findra, so you are comparing what each actually offers today, not a stale listing.
Category
AI Resources
AI Resources
Type
Speech (ASR/TTS)
Speech (ASR/TTS)
Country
🇰🇪 Kenya
🇸🇳 Senegal
Docs status
Docs live
Docs live
Licensing
Pricing
Free
Free
Verified
Verified
Verified
Last verified
24 Jun 2026
24 Jun 2026
Tags
asr, open-source, african-languages, whisper, fine-tuning
speech, asr, senegal, wolof, pulaar
Summary
An open-source framework (PyPI: africanwhisper) for fine-tuning OpenAI's Whisper on multilingual African-language audio datasets such as Common Voice and FLEURS, with optimized inference, diarization and deployment. Created by Kevin Kibe.
A 125-hour transcribed speech dataset in Wolof, Pulaar and Sereer (the three most widely spoken languages of Senegal) focused on agriculture, built for ASR development. Led by Jokalante with Orange Innovation and Ecole Polytechnique de Thies, funded by Lacuna Fund.