FunASR is an automatic speech recognition toolkit and multilingual speech-to-text engine designed to convert spoken audio into written text across more than fifty languages. It provides a framework for speaker diarization, an OpenAI-compatible transcription API for local server hosting, and speech models compatible with the ONNX format.
The project distinguishes itself by supporting high-performance inference on edge hardware via self-contained binaries and portable model exports. It incorporates specialized capabilities for natural speech generation with adjustable timbre and emotional expression, as well as the ability to capture live microphone audio for direct voice-to-text input automation.
The toolkit covers a broad range of audio analysis and processing capabilities, including voice activity detection, audio event and emotion detection, and punctuation restoration. It also includes tools for automated video captioning through the generation of timed subtitle files and distributed model fine-tuning to improve recognition accuracy using custom datasets.
