ghanaopenai/ghana-vc
audio-to-audio model by ghanaopenai
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From the publisher
Model card & documentation
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Voice conversion for Ghanaian languages. Converts any spoken audio into a single consistent Ghanaian voice. The checkpoint was fine-tuned on a Twi (Akan) voice, but the conversion is cross-lingual — the source speech does not have to be Twi. Voice conversion works on speaker timbre rather than on words, so the target voice carries across languages the model never saw in training. The checkpoint is not a ceiling: it was fine-tuned for 2,500 steps, and training further should improve it. Hear it: ghana-vc demo — samples across 40+ Ghanaian and West African languages, original beside converted. Architecture: seed-uvit-whisper-small-wavenet (22.05 kHz, Whisper-small content encoder, BigVGAN vocoder). The companion library converts a whole Hugging Face audio dataset into this voice and pushes the result back to the Hub: The converted audio is added as an audiozephyr column and pushed back to the Hub. Full documentation: GhanaNLP/ghana-vc. --diffusion-steps 50 is the recommended default.…
Read the full model card ↗ · Preview checked 2026-10-30T11:37:33.497Z
Inside the original model card — Document outline
- ghana-vc
- Quick start
- Direct use with Seed-VC
- Diffusion steps
- Files
- Training
- Licensing — please read
- Credits
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Model overview
ghanaopenai/ghana-vc is a audio-to-audio model repository published by ghanaopenai on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- audio-to-audio
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-17T06:03:07.000Z
- Last modified
- 2026-09-17T06:25:34.000Z
Compatibility and lineage
Reported languages: multilingual, tw
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:58.770Z. Daily imports are snapshots, not real-time monitoring.
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