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---
license: mit
language:
- ar
- cs
- de
- el
- en
- id
- hi
- fa
- fr
- ne
- nl
- no
- sw
- sr
- zh
- vi
- tr
- uk
- ru
- ro
- pt
- pl
- nl
- hu
- es
- cs
pipeline_tag: text-to-speech
---
## Guidelines for Converting Piper ONNX Model
**References:**
* https://github.com/nihui/ncnn-android-piper
* https://github.com/OHF-Voice/piper1-gpl
* https://huggingface.co/datasets/rhasspy/piper-checkpoints
**Steps to convert Piper checkpoints to NCNN models:**
1. **Checkout the correct version of the piper repository:**
```bash
git clone [https://github.com/OHF-Voice/piper1-gpl](https://github.com/OHF-Voice/piper1-gpl)
cd piper1-gpl
git checkout 113931937cf235fc8all1afd1ca4be209bc6919bc7
```
2. **Apply the necessary patch:**
```bash
# Ensure 'piper1-gpl.patch' is available
git apply piper1-gpl.patch
```
3. **Set up the Python environment and install dependencies:**
```bash
python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -e .[train]
```
4. **Download a Piper checkpoint file (`.ckpt`) from Hugging Face:**
https://huggingface.co/datasets/rhasspy/piper-checkpoints
5. **Install the PNNX model converter:**
```bash
pip install -U pnnx
```
6. **Obtain the `export_ncnn.py` script.**
7. **Run the conversion script on your checkpoint file:**
```bash
# Replace with your actual file
python export_ncnn.py (language code).ckpt (e.g., en.ckpt, fa.ckpt, ...)
``` |