AI Resources
Bambara-ASR-v2 vs BibleTTS
A verified, side-by-side comparison. Both records are status-checked by Wycord, 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
10 Jul 2026
10 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.