FunASR (Paraformer)

FunASR is an industrial-grade speech recognition toolkit from Alibaba, published through ModelScope, that covers offline, streaming, and edge deployment rather than betting on a single model. Its catalog includes Paraformer, a 220M-parameter non-autoregressive recognizer for Chinese and English with timestamp output, SenseVoiceSmall, which adds emotion recognition and audio event detection across five languages, and larger Fun-ASR and multilingual variants reaching dozens of languages. Around the recognizers sit voice activity detection, punctuation restoration, and speaker diarization modules that combine into complete transcription pipelines. The models are efficient enough that CPU inference can outpace Whisper on GPU, vLLM acceleration is reported at up to 340x realtime, and GGUF builds run through llama.cpp on edge devices without Python. Deployment options include Docker, WebSocket streaming servers, and OpenAI-compatible APIs. The code is MIT licensed with model weights licensed separately, and it is widely used in production Chinese ASR systems.