The Qwen3-ASR models are sophisticated automatic speech recognition (ASR) systems designed to provide high-quality transcription and language identification across a wide range of languages and dialects. They are part of the Qwen3 family, which includes two main models: Qwen3-ASR-1.7B and Qwen3-ASR-0.6B.
Key Features
Language Support: Both models support 52 languages and dialects, including 30 languages and 22 Chinese dialects.
Architecture: They utilize a dual-module architecture:
Audio Transformer (AuT) Encoder: Processes audio input to extract features.
Language Model (LM) Decoder: Generates text output from the processed audio features.
Performance: The models achieve state-of-the-art results in various challenging conditions, such as:
Noisy environments
Singing voice recognition
Model Specifications
Model Name Parameters Supported Languages Special Features
Qwen3-ASR-1.7B 1.7 billion 52 High accuracy, robust in complex settings
Qwen3…
