Instructions to use Aarjan/swar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use Aarjan/swar with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Swar: open Nepali voice cloning
Swar speaks Nepali the way it is spoken in Nepal and clones a voice from 20 to 30 seconds of someone talking. It reads Nepali, English, and Nepali mixed with English. By Naamche Labs.
Try it free: Colab notebook (free T4 GPU). Code and paper: github.com/Naamche-Labs/swar. Listening test: swar-vote.vercel.app.
Files
podvoices_ema.pt: the model (F5-TTS Base architecture, EMA weights).vocab.txt: character vocabulary (IndicF5).kriti_onnx/: Kriti, our Nepali speech recogniser (MIT), used to transcribe uploads and check takes.presets/: ready voices Maya (female) and Aarav (male), built only from model-made audio.app/: the cloner app (Gradio) used by the notebook.
Results (NepTTS-Bench, 205 sentences, one take)
| System | Character error | Pronunciation error | UTMOS |
|---|---|---|---|
| Swar, studio voice | 6.19 | 2.92 | 3.82 |
| Swar, Maya voice | 7.45 | 4.52 | 4.09 |
| OmniVoice (same prompt) | 6.68 | 4.32 | 3.93 |
| Indic-Speak Srijana | 10.25 | 8.12 | 3.97 |
| ElevenLabs v3 | 15.70 | 12.91 |
FLEURS cloning of unseen speakers: CER 4.55, speaker similarity 0.691, UTMOS 2.67 (OmniVoice 5.30, 0.681, 2.49). UTMOS is an automatic predictor, not a listener test.
Training data
Initialised from ai4bharat/IndicF5 (MIT). Fine-tuned on AI4Bharat Rasa and IndicVoices-R (CC BY 4.0), Google FLEURS (CC BY 4.0), OpenSLR 43 and 54 (CC BY-SA 4.0), LibriTTS-R (CC BY 4.0), and podcast speech used with the speakers' permission (not released). The weights are released under CC BY-SA 4.0 to respect the share-alike data.
Responsible use
Only clone a voice with that person's permission. Do not use Swar to impersonate anyone, to deceive, or to commit fraud.
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Model tree for Aarjan/swar
Base model
ai4bharat/IndicF5