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Corrected a logic error in the total calculation function causing inaccurate results. Added test cases to cover edge scenarios and ensure robustness.
Implements offline speech-to-text using `whisper-rs`, supporting model management and mode toggling between local and cloud transcription. Includes model downloads with progress indicators, customizable settings for language and model selection, modular design with lazy loading, and GPU acceleration support for Metal/Vulkan. Error handling ensures resilience during model operations.
Introduced an optional local transcription mode leveraging Whisper engine alongside existing cloud-based transcription. This includes Whisper model management (download, delete, and selection), audio resampling, and integration for model-based local inference. Updated UI components for seamless configuration.
- Fix whisper-rs-sys build on Windows: bundled bindings are Linux-only, causing struct size assertion failures. Add pre-generated Windows bindings and patch script (scripts/patch-whisper-bindings.js) that runs automatically via npm pretauri:dev/pretauri:build hooks. - Add silence detection (RMS threshold) to reject dead audio before Whisper inference, preventing hallucinations on silent input. - Enable suppress_blank and suppress_nst in Whisper params to filter hallucinated non-speech tokens (e.g. "Subtitles by Amara.org"). - Add per-crate opt-level=3 for whisper-rs-sys, whisper-rs, and rubato in dev profile to speed up inference during development. - Change default model from large-v3 to small for faster CPU inference. - Remove base model tier (unusable quality). - Upgrade whisper-rs from 0.14 to 0.16. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
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