Splainer voice
The voice and speech recognition that Splainer runs on your own PC: free, private, and offline once downloaded. In Splainer: Settings → Voice → Download. Splainer checks every file's SHA-256 before using it.
| File | Size | What it is |
|---|---|---|
kokoro-v1.0.onnx |
326 MB | Kokoro voice model |
splainer-voice-gpu-win-x64.zip |
1,292 MB | CUDA libraries for NVIDIA cards |
splainer-voice-win-x64.zip |
111 MB | the voice program for Windows x64 |
voices-v1.0.bin |
28 MB | Kokoro voices |
whisper-large-v3-turbo/model.bin |
1,618 MB | Whisper large-v3-turbo |
whisper-small/model.bin |
484 MB | Whisper small |
- Every PC (0.95 GB): the voice program, the Kokoro voice and Whisper small (runs on the processor).
- NVIDIA cards with 6 GB or more (+2.91 GB): CUDA libraries and Whisper large-v3-turbo (about 0.2 s per question).
What is inside, and its licences
| Part | Licence | From |
|---|---|---|
Kokoro-82M voice (kokoro-v1.0.onnx, voices-v1.0.bin) |
Apache-2.0 | hexgrad/Kokoro-82M, ONNX export by kokoro-onnx |
| Whisper large-v3-turbo (CTranslate2) | MIT | mobiuslabsgmbh/faster-whisper-large-v3-turbo, model by OpenAI |
| Whisper small (CTranslate2) | MIT | Systran/faster-whisper-small, model by OpenAI |
Voice program (splainer-voice-win-x64.zip) |
its source is in source/ |
built with PyInstaller from source/kokoro_server.py; bundles kokoro-onnx (MIT), ONNX Runtime (MIT), faster-whisper (MIT), CTranslate2 (MIT), PyAV/FFmpeg (LGPL) and espeak-ng (GPL-3.0) |
CUDA libraries (splainer-voice-gpu-win-x64.zip) |
NVIDIA licences, included in the archive | cuBLAS, cuDNN and NVRTC runtime libraries from NVIDIA's nvidia-*-cu12 packages |
source/ holds the server's code, the exact package versions and the build script, so the program can be rebuilt.
It only listens on 127.0.0.1 and only answers Splainer (a per-install token).