Author(s): Gautam Boyina
Originally published on Towards AI.
And the forced alignment model is the interesting part
I have tested dozens of speech recognition models over time. Most claim multilingual support, but quietly break down when you give them actual Chinese dialects, accented English, or anything beyond standard broadcast audio. The ones that work well are usually proprietary APIs that cost inconveniently.
Alibaba’s Qween team has introduced Qween3-ASR, an open-source speech recognition system supporting 52 languages ​​and dialects. Key models include Qwen3-ASR-1.7B, which claims state-of-the-art performance for multilingual tasks, and Qwen3-ForcedAligner-0.6B, a non-autoregressive model for accurate speech-text alignment. These developments allow for better handling of Chinese dialects, user-generated content in multiple languages, and increased timestamp accuracy for applications requiring precise audio-text synchronization.
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Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
