Qwen@Alibaba_Qwen
60AI 编辑部评分,满分 100
2026-07-31 16:45· 59分钟前
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AI 摘要

通义千问推出Qwen-Audio-3.0-ASR-Flash语音识别模型,主打更强的上下文感知与领域术语识别能力。新模型支持自定义热词、上下文一致性,并可将语音整理为结构化文本。内部测试中,医疗术语召回率达95.36%,工业术语召回率达93.24%。

Introducing Qwen-Audio-3.0-ASR-Flash: More context-aware. Stronger domain-term recognition.

🚀Our latest ASR model upgrades: • Context consistency • Domain-term recognition • Custom hotwords • Speech polishing into structured transcripts

⚡️In internal tests: • Medical term recall: 95.36% • Industrial term recall: 93.24%

Qwen-Audio-3.0-ASR-Flash-Streaming: https://www.alibabacloud.com/help/en/model-studio/fun-asr-real-time-speech-recognition-api-reference Qwen-Audio-3.0-ASR-Flash-Filetrans: https://www.alibabacloud.com/help/en/model-studio/fun-asr-recorded-speech-recognition-http-api Qwen-Audio-3.0-ASR-Flash: https://www.alibabacloud.com/help/en/model-studio/non-real-time-speech-recognition-for-fun-asr-flash

Qwen · @Alibaba_Qwen · X·2026-07-31 16:45·59分钟前
在 X 看原推· x.com
AI 摘要

通义千问推出Qwen-Audio-3.0-ASR-Flash语音识别模型,主打更强的上下文感知与领域术语识别能力。新模型支持自定义热词、上下文一致性,并可将语音整理为结构化文本。内部测试中,医疗术语召回率达95.36%,工业术语召回率达93.24%。

Introducing Qwen-Audio-3.0-ASR-Flash: More context-aware. Stronger domain-term recognition.

🚀Our latest ASR model upgrades: • Context consistency • Domain-term recognition • Custom hotwords • Speech polishing into structured transcripts

⚡️In internal tests: • Medical term recall: 95.36% • Industrial term recall: 93.24%

Qwen-Audio-3.0-ASR-Flash-Streaming: https://www.alibabacloud.com/help/en/model-studio/fun-asr-real-time-speech-recognition-api-reference Qwen-Audio-3.0-ASR-Flash-Filetrans: https://www.alibabacloud.com/help/en/model-studio/fun-asr-recorded-speech-recognition-http-api Qwen-Audio-3.0-ASR-Flash: https://www.alibabacloud.com/help/en/model-studio/non-real-time-speech-recognition-for-fun-asr-flash

在 X 查看原推x.com