teckedd/gha-whisper-small-twi-en-balanced-v7-lite-frozen
Frozen-encoder balanced Twi/Akan + English-retention Whisper small proof checkpoint for Ghana Health AI. Validation WER 53.83% on the capped Waxal validation subset; not a production promotion candidate.
- Base model:
openai/whisper-small - Task:
automatic-speech-recognition - Languages:
tw,ak,en - Card generated: 2026-08-09 (UTC)
- Product: ghanahealth.serendepify.com
Not a medical device. Outputs support community health guidance only.
Metrics
| Metric | Value |
|---|---|
wer |
0.5383 |
cer |
0.2218 |
Training data
google/WaxalNLP (aka_asr)fsicoli/common_voice_22_0 (tw)fsicoli/common_voice_22_0 (en)ghananlpcommunity/twi-speech-text-multispeaker-16k (default)
Intended use
- In-product ASR / TTS / chat for Twi (Akan) and English health conversations in Ghana.
- Research on low-resource Ghanaian language speech and health dialogue.
Out of scope
- Clinical diagnosis or autonomous medical decisions.
- Claiming near-native quality without reporting held-out WER/CER or human A/B scores.
How to load
from transformers import pipeline # or AutoModel + processor per task
# repo: teckedd/gha-whisper-small-twi-en-balanced-v7-lite-frozen
Citation
If you use this checkpoint, please credit Ghana Health AI / Serendepify and the upstream base model authors plus any listed datasets.