Обновить библиотеку, читалку и выпуск до 2.31
This commit is contained in:
@@ -0,0 +1,51 @@
|
||||
# Aletheia Russian Piper/VITS training
|
||||
|
||||
The selected deployment format is a single-speaker Piper/VITS model exported to ONNX. Piper's current official
|
||||
training interface consumes `wav-file|text` CSV rows, supports Russian through the `ru` espeak-ng voice, and
|
||||
exports a checkpoint with `python3 -m piper.train.export_onnx`.
|
||||
|
||||
## GPU host prerequisites
|
||||
|
||||
- Windows or Linux with an NVIDIA CUDA GPU and a working `nvidia-smi`.
|
||||
- Git, Python 3, build-essential, CMake, and Ninja.
|
||||
- A checkout of `https://github.com/OHF-Voice/piper1-gpl` with the `[train]` dependencies installed and
|
||||
`build_monotonic_align.sh` completed.
|
||||
- The generated Aletheia dataset directory containing `metadata.csv` and `wav/`.
|
||||
|
||||
## Scratch training
|
||||
|
||||
```bash
|
||||
git clone https://github.com/OHF-Voice/piper1-gpl.git
|
||||
cd piper1-gpl
|
||||
python3 -m venv .venv
|
||||
source .venv/bin/activate
|
||||
python3 -m pip install -e '.[train]'
|
||||
./build_monotonic_align.sh
|
||||
python3 setup.py build_ext --inplace
|
||||
|
||||
/path/to/Aletheia/tools/tts/train_piper.sh \
|
||||
/path/to/tts-dataset \
|
||||
/path/to/tts-training \
|
||||
"$PWD" \
|
||||
2000
|
||||
```
|
||||
|
||||
No `--ckpt_path` is passed: the Aletheia acoustic model is initialized from scratch. This is intentionally slower
|
||||
than Piper's recommended checkpoint fine-tuning. The exported deliverables are `aletheia_ru.onnx`,
|
||||
`aletheia_ru.onnx.json`, and `artifacts.json` with byte counts and SHA-256 hashes.
|
||||
|
||||
Before accepting the model, synthesize a held-out Russian validation list at multiple `length_scale`,
|
||||
`noise_scale`, and `noise_scale_w` settings, measure real-time factor on the target phone, and listen for skipped
|
||||
words, unstable stress, clicks, and repeated phonemes. A successful export alone is not a quality gate.
|
||||
|
||||
On native Windows, first run the one-batch CUDA check:
|
||||
|
||||
```powershell
|
||||
.\train_piper_windows.ps1 `
|
||||
-DatasetDir C:\path\to\tts-dataset `
|
||||
-OutputDir C:\path\to\tts-smoke `
|
||||
-PythonExe C:\path\to\.venv\Scripts\python.exe `
|
||||
-SmokeTest
|
||||
```
|
||||
|
||||
The default Windows batch size is 4 so the smoke test can establish actual memory use before increasing it.
|
||||
Reference in New Issue
Block a user