Feature Request: Add SenseVoice/Paraformer as STT engine option

[LauraGPT]

Feature Request

Speech Note already supports multiple STT engines. Adding SenseVoice and Paraformer from FunASR would expand language coverage and improve performance.

Why

• SenseVoice — 234M param non-autoregressive ASR, 50+ languages, very fast inference
• Paraformer — excellent accuracy on Chinese, English, Japanese, Korean
• Both are available via Sherpa-ONNX which already supports Linux desktop and Flatpak — ideal for Speech Note's distribution model
• Built-in emotion detection and audio event classification
• Fully offline after model download

Integration Path

The easiest integration would be through Sherpa-ONNX (5K+ stars), which provides:

• C/C++ API suitable for dsnote's C++ codebase
• Pre-built ONNX models for SenseVoice and Paraformer
• Linux packages and Flatpak-friendly builds
• Already used in production by multiple Linux apps

Models

Model	Size	Languages	Speed
SenseVoiceSmall	234M	50+	170x real-time (GPU)
Paraformer-large	220M	zh/en/ja/ko/yue	160x real-time (GPU)

Happy to help with integration!