GLM ASR Nano 2512 👋 Join our WeChat community Model Introduction GLM ASR Nano 2512 is a robust, open source speech recognition model with 1.5B parameters . Designed for real world complexity, it outperforms OpenAI Whisper V3 on multiple benchmarks while maintaining a compact size. Key capabilities include: Exceptional Dialect Support: Beyond standard Mandarin and English, the model is highly optimized for Cantonese (粤语) and other dialects, effectively bridging the gap in dialectal speech recognition. Low Volume Speech Robustness: Specifically trained for "Whisper/Quiet Speech" scenarios. It captures and accurately transcribes extremely low volume audio that traditional models often miss. SOTA Performance: Achieves the lowest average error rate (4.10) among comparable open source models, showing significant advantages in Chinese benchmarks (Wenet Meeting, Aishell 1, etc..). Benchmark We evaluated GLM ASR Nano against leading open source and closed source models. The results demonstrate that GLM ASR Nano (1.5B) achieves superior performance, particularly in challenging acoustic environments. Notes: Wenet Meeting reflects real world meeting scenarios with noise and overlapping speech…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy