A newer version of the Gradio SDK is available: 6.12.0
metadata
title: ASR Benchmark – Ghanaian Languages
emoji: 🎙️
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
hardware: a10g-small
ASR Benchmark — Ghanaian Languages
Benchmarks Wav2Vec2-BERT fine-tuned models and Gemma-3n on Dagbani, Twi, and Ewe speech datasets.
Models evaluated
| Label | HF Hub ID |
|---|---|
| Dagbani (w2v-bert-2.0) | FarmerlineML/w2v-bert-2.0_2026_dagbani_ASR |
| Ewe (w2v-bert-2.0) | FarmerlineML/w2v-bert-2.0_ewe_2 |
| Twi (w2v-bert-2.0) | FarmerlineML/w2v-bert-2.0_twi_alpha_v1 |
| Gemma-3n (E2B-it) | unsloth/gemma-3n-E2B-it |
Datasets
| Label | HF Hub path |
|---|---|
| UNICEF Dagbani | ghananlpcommunity/UNICEF-Ghana-Dagbani-ASR |
| UNICEF Twi | ghananlpcommunity/UNICEF-Ghana-Twi-ASR |
| UNICEF Ewe | ghananlpcommunity/UNICEF-Ghana-Ewe-ASR |
| Bible Ewe | ghananlpcommunity/ewe-bible-audio-text-tts |
| Bible Dagbani | ghananlpcommunity/dagbani-bible-audio-text-tts |
| Bible Twi | ghananlpcommunity/asante-twi-bible-speech-text |
Metrics
- CER — Character Error Rate
- WER — Word Error Rate
Hardware recommendation
Run on an a10g-small (24 GB VRAM) Space for Gemma-3n 4-bit inference.
Wav2Vec2 models alone can run on cpu-basic or t4-small.