Feature: Add SenseVoice — 5x faster private transcription with emotion detection

[LauraGPT]

Hi! NotelyVoice looks great — 100% private AI voice transcription.

Since privacy is core to your app, SenseVoice aligns perfectly:

Why SenseVoice?

• 100% offline — no API calls, no data leaves the device
• 5x faster than Whisper — non-autoregressive
• 234M params — runs on CPU, light on battery
• Emotion detection — tag notes with detected mood
• 50+ languages — auto-detection

Integration

from funasr import AutoModel
model = AutoModel(model="iic/SenseVoiceSmall", vad_model="fsmn-vad", punc_model="ct-punc")
result = model.generate(input="recording.wav")

For native apps (no Python):

• Sherpa-ONNX: https://github.com/k2-fsa/sherpa-onnx (Swift/C++/Rust bindings)

Links

• SenseVoice: https://github.com/FunAudioLLM/SenseVoice (8.3K stars)
• FunASR: https://github.com/modelscope/FunASR (16.7K stars)

[tosinonikute]

Thanks @LauraGPT for the links & suggestion, I'm particularly excited as it comes with Speaker Diarization, I've been struggling to implement Diarization with Whisper.cpp. I've have tried using Sherpa-ONNX with Whisper.cpp before and It was extremely slow.

I'll try the Android demo and compare.