Instructions to use hhkoosha/orksay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use hhkoosha/orksay with Piper:
# 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
Orksay Peon voice
An English Piper text-to-speech voice for Orksay, inspired by the Warcraft III Orc Peon. The model runs locally on CPU; Orksay applies the included equalization filter after synthesis.
Files
model.onnxβ Piper voice model.model.onnx.jsonβ Piper configuration and inference settings.eq.npyβ FIR equalization filter used by Orksay. Piper alone does not apply this filter.
The voice uses the en-us eSpeak phoneme frontend and produces 22,050 Hz audio. The ONNX file is stored with Git LFS.
Use with Orksay
Install the speech runtime from Orksay, then copy the three voice files into its data directory:
voice_dir="${XDG_DATA_HOME:-$HOME/.local/share}/orksay/voice"
mkdir -p "$voice_dir"
cp model.onnx model.onnx.json eq.npy "$voice_dir/"
Run these commands from a checkout of this model repository. In the Orksay project directory, run:
bash ./install-speech.sh
./orksay say "Ready to work!" --output /tmp/orksay.wav
Playback requires PipeWire's pw-play; saving a WAV does not. Orksay loads the three files from the same directory and applies eq.npy after Piper synthesis.
Peon
This voice is derived from Warcraft III recordings. The Peon audio pack is declared CC-BY-NC-4.0. The training script can be found in the linked orksay git repo above.
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