Downloads · 30 days
9
22% of all-time downloads
vaghawan/xtts-v2-en-pidgin-lr-5e-5-epoch20-35mins
xtts-v2-en-pidgin-lr-5e-5-epoch20-35mins is a text-to-speech model from vaghawan. Use it when you need text read aloud. It is set up for coqui-tts. The card lists the license as other.
Fine-tuned Coqui XTTS-v2 for English and Nigerian Pidgin (both synthesized with language id en), trained on vaghawan/en-pidgin-high-similarity-11-35mins (speaker enpidginvoice).
Downloads · 30 days
9
22% of all-time downloads
All-time downloads
41
Public
Repo size
5.6 GB
Likes
0
Public
Click a slice to open those files.
.pth5.6 GB · 100%
From the Hugging Face model README
Fine-tuned Coqui XTTS-v2 for English and Nigerian Pidgin
(both synthesized with language id en), trained on vaghawan/en-pidgin-high-similarity-11-35mins (speaker en_pidgin_voice).
Pidgin has no native XTTS language code — train and infer Pidgin text as en.
| File | Purpose |
|---|---|
best_model.pth | Fine-tuned GPT checkpoint (epoch 20, lr=5e-5) |
config.json | Model config |
vocab.json | Stock XTTS English BPE vocabulary (no extend) |
references/en_pidgin_voice.wav | Speaker reference |
infer_english_and_pidgin.py | English + Pidgin sample inference |
infer.py | Shared inference helpers |
xtts_hausa_patch.py | Runtime language helpers (also used for en) |
env_config.py | Config loader |
config.env.example | Example settings (copy to config.env) |
requirements.txt | Python dependencies |
pip install -r requirements.txt
cp config.env.example config.env
python infer_english_and_pidgin.py \
--model-dir . \
--speaker-wav references/en_pidgin_voice.wav \
--out-dir outputs/samples_en_pidgin
# Single line (via infer.py):
python infer.py --model-dir . --language en \
--text "How far? I dey fine." \
--speaker-wav references/en_pidgin_voice.wav \
--out outputs/out.wav
extend_vocab.py)en (English and Pidgin)en_pidgin_voiceXTTS-v2 uses the Coqui Public Model License. Check each dataset license before redistribution.