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License and capability clarification (2026-07-14): FunASR is a toolkit, not a single checkpoint. The FunASR and SenseVoice repository source code is MIT; model weights follow each model card. SenseVoiceSmall supports Chinese, Cantonese, English, Japanese, and Korean, and its weights use the linked FunASR Model Open Source License Agreement. Fun-ASR-Nano-2512 is Apache-2.0. Language coverage, punctuation, and performance depend on the selected model and runtime configuration.
Feature Request
Cactus focuses on low-latency AI for mobile devices. SenseVoice and Paraformer are excellent candidates for on-device speech recognition:
Why SenseVoice fits Cactus:
Non-autoregressive — constant-time inference regardless of audio length
Small model — 234M parameters (SenseVoice-Small)
ONNX ready — pre-built ONNX models available via Sherpa-ONNX
50+ languages — single model for multilingual recognition
Extra features — emotion detection, audio event detection (laughter, applause, music)
Mobile-proven — Sherpa-ONNX runs SenseVoice on iOS, Android, and WASM
Note
License and capability clarification (2026-07-14): FunASR is a toolkit, not a single checkpoint. The FunASR and SenseVoice repository source code is MIT; model weights follow each model card. SenseVoiceSmall supports Chinese, Cantonese, English, Japanese, and Korean, and its weights use the linked FunASR Model Open Source License Agreement. Fun-ASR-Nano-2512 is Apache-2.0. Language coverage, punctuation, and performance depend on the selected model and runtime configuration.
Feature Request
Cactus focuses on low-latency AI for mobile devices. SenseVoice and Paraformer are excellent candidates for on-device speech recognition:
Why SenseVoice fits Cactus:
Pre-built ONNX models and C/C++ bindings:
References: