metadata
license: other
language:
- ha
tags:
- text-to-speech
- xtts
- hausa
- coqui
library_name: coqui-tts
XTTS-v2 Hausa — multi-speaker (3 speakers, 10 epochs)
Fine-tuned Coqui XTTS-v2 for Hausa (ha), trained on
vaghawan/hausa-tts-24khz-waxalnlp-3-clean, vaghawan/hausa-tts-24khz-waxalnlp-5-clean, vaghawan/hausa-tts-24khz-naijavoices-O0456.
Files
| File | Purpose |
|---|---|
best_model.pth |
Fine-tuned GPT checkpoint (epoch 10) |
config.json |
Model config (includes Hausa language) |
vocab.json |
Extended Hausa BPE vocabulary |
references/hausa_fe_waxal_nlp_3.wav |
Speaker reference for hausa_fe_waxal_nlp_3 |
references/hausa_fe_waxal_nlp_5.wav |
Speaker reference for hausa_fe_waxal_nlp_5 |
references/hausa_fe_naijavoices_O0456.wav |
Speaker reference for hausa_fe_naijavoices_O0456 |
infer.py |
Inference script |
xtts_hausa_patch.py |
Required Hausa runtime patches |
env_config.py |
Config loader |
config.env.example |
Example settings (copy to config.env) |
samples.txt |
Default eval sentences |
requirements.txt |
Python dependencies |
Quick start
pip install -r requirements.txt
cp config.env.example config.env
python infer.py --model-dir . --speaker-wav references/hausa_fe_waxal_nlp_3.wav
# Single line:
python infer.py --model-dir . --text "Ina kwana." --speaker-wav references/hausa_fe_waxal_nlp_3.wav --out outputs/out.wav
All speakers (one WAV per reference):
python infer.py --model-dir . --all-speakers --out-dir outputs/samples
Training details
- Base model: Coqui XTTS-v2
- Epochs: 10
- Language: Hausa (
ha) - Speakers:
hausa_fe_waxal_nlp_3,hausa_fe_waxal_nlp_5,hausa_fe_naijavoices_O0456
License
XTTS-v2 uses the Coqui Public Model License. Check each dataset license before redistribution.