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inclusionAI has open-sourced the Ming-3.0-asr-tiny speech recognition model repository on GitHub. The model combines the Ling-tiny-v3 language model with an audio encoder, supporting Chinese-English transcription, dialect recognition, and Context ASR. Dialect evaluation covers 15 test sets, including Hunan, Minnan, Cantonese, and Sichuan-Chongqing; Context ASR can recognize proper nouns through hotwords in prompts or prior conversation. The inference stack uses Transformers 5.12.1, fla-core 0.5.2, and PyTorch 2.11.0, and provides an SGLang accelerated deployment example. There are currently no subsequent development facts.
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inclusionAI open-sources the Ming-3.0-asr-tiny speech recognition model repository
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Oct 20
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Ant inclusionAI Open-Sources Ming-3.0-asr-tiny: Supports Chinese-English Transcription, Dialect Recognition, and Context ASR
Ant inclusionAI has open-sourced Ming-3.0-asr-tiny on GitHub, combining the Ling-tiny-v3 language model with an audio encoder to support Chinese-English transcription, dialect recognition, and Context ASR. Dialect evaluation covers 15 test sets including Hunan, Minnan, Cantonese, and Sichuan-Chongqing; Context ASR can recognize proper nouns via hotwords in prompts or preceding dialogue. The inference stack uses Transformers 5.12.1, fla-core 0.5.2, and PyTorch 2.11.0, and provides an SGLang accelerated deployment example.