SenseVoice is a speech foundation model providing automatic speech recognition, spoken language identification, speech emotion recognition, and audio event detection capabilities. It employs a non-autoregressive end-to-end architecture trained on over 400,000 hours of data to achieve low inference latency while supporting 50+ languages. The model is implemented in PyTorch and available through ModelScope and Hugging Face.