Descriptions:
Fahd Mirza installs and tests Xiaomi’s newly released MiMo-V2.5-ASR, an open-source automatic speech recognition model developed by Xiaomi’s AI research division (MiYo). The 8-billion-parameter model is trained in three sequential stages—large-scale audio pretraining, supervised fine-tuning, and reinforcement learning for self-correction—and is explicitly designed to handle real-world speech complexity: multilingual code-switching, noisy environments, overlapping speakers, and transcribing song lyrics over heavy instrumentation.
The setup runs on Ubuntu with an Nvidia H100 but requires only around 18GB of VRAM, making the model accessible on a range of hardware. Mirza clones the GitHub repository, sets up a conda virtual environment, installs dependencies, and launches the Gradio-based demo interface at localhost port 7898—walking through each step in real time. Live tests include a Chinese-English code-switching audio clip and a low-quality real meeting recording, with the model demonstrating strong accuracy in both cases.
According to Xiaomi, MiMo-V2.5-ASR has topped the Open ASR leaderboard, outperforming Whisper Large V3 and Gemini 3.1 Pro on dialect recognition tasks. Current language support covers Mandarin, Cantonese, Hokkien, Hainanese, and English, with particular strength in Chinese dialect handling and bilingual code-switching—the real-world capability gap the model was built to close.
📺 Source: Fahd Mirza · Published April 30, 2026
🏷️ Format: Tutorial Demo
