teckedd/gha-whisper-small-twi-en-balanced-v7-lite

Balanced Twi/Akan + English-retention Whisper small proof checkpoint for Ghana Health AI. Validation WER 42.31% 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	0.4231
cer	0.1618

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

Citation

If you use this checkpoint, please credit Ghana Health AI / Serendepify and the upstream base model authors plus any listed datasets.