AI Resources
Bambara-ASR-v2 vs BibleTTS
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
🏳️ ML
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Open weights (Apache 2.0)
Not listed
Verified
Unverified
Verified
Last verified
5 Jul 2026
5 Jul 2026
Tags
asr, whisper, bambara, mali, code-switching
dataset, speech, tts, african-languages, masakhane
Summary
Bambara-ASR-v2 is an automatic speech recognition model for Bambara (Bamanankan) fine-tuned from OpenAI's Whisper-large-v2 using parameter-efficient tuning, reaching about 25 percent word error rate. It handles natural Bambara-French code-switching common in Mali's multilingual context. It is released under Apache 2.0 as part of the MALIBA-AI community initiative.
BibleTTS is a large, high-fidelity open text-to-speech corpus with up to 80+ hours of studio-quality 48kHz single-speaker recordings per language across ten Sub-Saharan African languages (Akuapem Twi, Asante Twi, Chichewa, Ewe, Hausa, Kikuyu, Lingala, Luganda, Luo, Yoruba), built by Masakhane/Coqui.