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AI Resources

Bambara-ASR-v2 vs Kallaama

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
🇲🇱 Mali
🇸🇳 Senegal
Docs status
Docs live
Docs live
Licensing
Pricing
Open weights (Apache 2.0)
Free
Verified
Unverified
Verified
Last verified
10 Oct 2026
10 Oct 2026
Tags
asr, whisper, bambara, mali, code-switching
speech, asr, senegal, wolof, pulaar
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.
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.

Bambara-ASR-v2 vs Kallaama at a glance

Bambara-ASR-v2 and Kallaama are both listed under Speech (ASR/TTS) in Wycord's AI Resources index.

Bambara-ASR-v2 is based in Mali and Kallaama in Senegal.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for Bambara-ASR-v2 (36 checks) and 100% for Kallaama (36 checks).

Average response time on live probes was 166 ms for Bambara-ASR-v2 and 1020 ms for Kallaama.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Pricing: Bambara-ASR-v2, Open weights (Apache 2.0); Kallaama, Free.
  • Country: Bambara-ASR-v2, Mali; Kallaama, Senegal.
  • Verification: Bambara-ASR-v2, Unverified; Kallaama, Verified.
  • Average latency: Bambara-ASR-v2, 166 ms; Kallaama, 1020 ms.

Topics

Both are tagged: asr.

Only Bambara-ASR-v2: whisper, bambara, mali, code-switching.

Only Kallaama: speech, senegal, wolof, pulaar.

Common questions

Which has better uptime, Bambara-ASR-v2 or Kallaama?
They are level at 100% over the last 30 days.
Do Bambara-ASR-v2 or Kallaama need approval before use?
Both are marked "No approval needed".
Is the documentation for Bambara-ASR-v2 and Kallaama working?
Both show "Docs live" at the last check.
Where are Bambara-ASR-v2 and Kallaama based?
Bambara-ASR-v2 is based in Mali; Kallaama is based in Senegal.

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