Vagdhenu Ivr Pool Voice
Experimental second voice for Vāgdhenu, fine-tuned on a pooled set of 4 male speakers from IndicVoices-R (gated HF dataset — anyone retraining from scratch must accept its terms separately). Unlike the project's...
Model source
- Kind
- Other
- File size
- 1.26 GB
- Version
- vVoice ivr pool 2026 07 ema
- Updated
- Oct 19, 2026
- Source
- Hugging Face
Source description
Vāgdhenu — experimental IVR-pool voice
Experimental second voice for Vāgdhenu, fine-tuned on a pooled set of 4 male speakers from IndicVoices-R (gated HF dataset — anyone retraining from scratch must accept its terms separately). Unlike the project's default chant voice, this checkpoint clones the identity of whatever reference clip it's given.
Trade-off: it reads Sanskrit in a spoken style rather than the traditional chant (pārāyaṇa) cadence — expected, since IndicVoices-R is spoken, not chanted, speech.
voice_ivr_pool_2026-07_ema.pt — EMA-only weights, same format as the project's other DiT voice
checkpoints (ema_model_state_dict key), 60 epochs / 9720 updates on Kaggle T4×2.
Not affiliated with the upstream prathoshap/vagdhenu repo/weights — kept separate since this is
still experimental and trained on gated data with its own license terms.
Sources
1 source
Sources
1 sourceVerified Oct 19
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- tags: - text-to-speech - sanskrit --- # Vāgdhenu — experimental IVR-pool voice Experimental second voice for [Vāgdhenu](https://github.com/prathoshap/vagdhenu), fine-tuned on a pooled set of 4 male speakers from **IndicVoices-R** (gated HF dataset — anyone retraining from scratch must accept its terms separately). Unlike the project's default chant voice, this checkpoint clones the identity of whatever reference clip it's given. Trade-off: it reads Sanskrit in a spoken style rather than the traditional chant (pārāyaṇa) cadence — expected, since IndicVoices-R is spoken, not chanted, speech. `voice_ivr_pool_2026-07_ema.pt` — EMA-only weights, same format as the project's other DiT voice checkpoints (`ema_model_state_dict` key), 60 epochs / 9720 updates on Kaggle T4×2. Not affiliated with the upstream `prathoshap/vagdhenu` repo/weights — kept separate since this is still experimental and trained on gated data with its own license terms.
Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Repo Sharkyyyx28/vagdhenu-ivr-pool-voice
