feat: add Moonshine Base speech recognition model#556
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cjpais merged 3 commits intocjpais:mainfrom Jan 10, 2026
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Add support for the Moonshine Base ASR model, which offers: - 5x faster transcription than Whisper - Better accent recognition - ~240MB model size (encoder + decoder + tokenizer) Changes: - Update transcribe-rs to v0.2 with moonshine feature - Add EngineType::Moonshine variant - Add Moonshine Base model definition (400MB, 80% accuracy, 90% speed) - Add model loading and transcription logic - Add i18n translation for Moonshine Base Note: Model files must be hosted at blob.handy.computer/moonshine-base.tar.gz Expected structure: encoder_model.onnx, decoder_model_merged.onnx, tokenizer.json Co-Authored-By: Claude Opus 4.5 <[email protected]>
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For now I pulled in the quantized version and put that up on the handy blob. May change to full model depending on how well moonshine performs for everyone. |
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…, and UI improvements Merged upstream features: - feat: add Czech translation (cjpais#568) - fix: keybinding changes failing silently due to incorrect key ordering (cjpais#524) - fix: improve apple intelligence ui and add reusable alert component (cjpais#517) - Fix race condition when toggling transcription via SIGUSR2 (cjpais#560) - feat(linux): add ydotool support for text input (cjpais#557) - feat: add Moonshine Base speech recognition model (cjpais#556) - Prevent highlight and selection cursor hover on UI text items (cjpais#541) - feat(ui): add reusable Tooltip component and integrate with settings (cjpais#538) - PR guidelines for AI - dont allow package-lock with a bun project for now Conflicts resolved: - src-tauri/src/shortcut.rs: Kept KBVE filler detection commands, adopted upstream's improved doc comment - src/bindings.ts: Merged KBVE types (Discord, Memory, Filler) with upstream's Moonshine engine type
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(human):
hey! long time no see. I thought I'd add another model to the list. More choices always better!
(llm):
Add support for the Moonshine Base ASR model, which offers:
Changes:
Note: Model files must be hosted at blob.handy.computer/moonshine-base.tar.gz
Expected structure: encoder_model.onnx, decoder_model_merged.onnx, tokenizer.json
Co-Authored-By: Claude Opus 4.5 [email protected]