Moore Threads has announced the open-source release of its audio understanding model, MooER, making it the first large-scale open-source speech model based on domestically produced full-feature GPUs. MooER supports Chinese and English speech recognition and translation, utilizing a three-part model structure that demonstrates robust multilingual processing capabilities. The inference code and a model trained on 5000 hours of data have been released as open source, with plans to further open-source training code and an enhanced version trained on 80,000 hours of data. In comparative testing, MooER-5K has shown outstanding performance, achieving a Chinese CER of 4.21% and an English WER of 17.98%, particularly.