Gooya-Bozorg-v1.5 / README.md
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---
license: cc-by-nc-4.0
language:
- fa
pipeline_tag: text-to-speech
base_model:
- Thomcles/Chatterbox-TTS-Persian-Farsi
tags:
- persian
- farsi
- text-to-speech
- voice-cloning
- chatterbox
---
# Gooya Bozorg v1.5
**Gooya Bozorg v1.5** is the versioned PersianASR distribution of
[`Thomcles/Chatterbox-TTS-Persian-Farsi`](https://huggingface.co/Thomcles/Chatterbox-TTS-Persian-Farsi),
a Persian fine-tune of Resemble AI's 500M multilingual Chatterbox TTS model.
This release preserves the selected upstream checkpoint exactly. We did **not**
claim additional training or altered weights: it was promoted after a controlled
listening comparison against our own 227,753-clip step-3500 fine-tune, where the
upstream Persian checkpoint retained slightly better pronunciation and pacing.
The weight hashes are recorded in `MODEL_MANIFEST.json`.
## Why “Bozorg”?
This is the larger, higher-quality Gooya lane. It prioritizes Persian speech
quality and zero-shot voice cloning over the footprint of Gooya's small/on-device
models.
## Quick start
Install the official Chatterbox repository and the small runtime dependencies:
```bash
git clone https://github.com/resemble-ai/chatterbox.git
cd chatterbox
pip install -e .
pip install huggingface_hub safetensors soundfile
```
Then download this repository and run:
```bash
python inference.py \
--model-dir /path/to/Gooya-Bozorg-v1.5 \
--text "سلام، حالت چطوره؟" \
--reference /path/to/reference.wav \
--output gooya-bozorg.wav
```
The reference should be a clean single-speaker WAV. The defaults match the
comparison run: `exaggeration=0.5` and `cfg_weight=0.5`.
## Included comparison samples
- `samples/canonical.wav`: conversational Persian pronunciation
- `samples/conversational.wav`: punctuation and dialogue-like pacing
- `samples/codeswitch.wav`: mixed Persian and English terms
All three were generated with fixed seeds and the same reference/settings used
for the competing Gooya checkpoint.
## Provenance
- Upstream model: `Thomcles/Chatterbox-TTS-Persian-Farsi`
- Pinned upstream snapshot: `4e9f6b7043d30d8328bb842b6126676bead8d9de`
- Architecture/runtime: `ResembleAI/chatterbox`
- Weight status: byte-identical repackaging of the selected upstream files
- PersianASR release name: Gooya Bozorg v1.5
Credit for the Persian training and original release belongs to **Thomcles**.
Credit for Chatterbox belongs to **Resemble AI**.
## Limitations
- This model can still mispronounce ambiguous Persian words and mixed-script text.
- Pacing and question intonation are improved relative to our tested fine-tune,
but are not fully controllable.
- Output quality depends strongly on the reference clip.
- This release is not a tiny/on-device model and needs substantially more memory
than Gooya's small models.
- The license is non-commercial; review it before deployment.
## License
The upstream checkpoint is released under
[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). This repository
keeps the same license and attribution requirements. It is **not licensed for
commercial use**.