长音频不丢词，行业词不用教，阿里发布Qwen-Audio-3.0-ASR-Flash
Ranking
Overall
64
Content
70
Popularity
N/A
No observed public metrics; popularity remains neutral/archived.
Merged summary
TL;DR - Alibaba released Qwen-Audio-3.0-ASR-Flash, an ASR model designed to improve long-audio consistency, specialized-term recognition, and custom hotword accuracy. It also converts speech directly into polished, structured text, reducing downstream processing.
- Long-audio context helps preserve names, terminology, and mixed Chinese-English expressions across segments.
- Specialized-term recall improved across internal evaluations, reaching 95.36% in medical scenarios.
- Hotword customization exceeded 90% accuracy on all test sets and 99% in most scenarios.
- The model removes filler words, resolves spoken corrections, and structures transcripts during recognition; it is available through Alibaba Cloud Model Studio.
Sources (1)
长音频不丢词，行业词不用教，阿里发布Qwen-Audio-3.0-ASR-Flash
Public signals
N/A
TL;DR - Alibaba released Qwen-Audio-3.0-ASR-Flash, an ASR model designed to improve long-audio consistency, specialized-term recognition, and custom hotword accuracy. It also converts speech directly into polished, structured text, reducing downstream processing.
- Long-audio context helps preserve names, terminology, and mixed Chinese-English expressions across segments.
- Specialized-term recall improved across internal evaluations, reaching 95.36% in medical scenarios.
- Hotword customization exceeded 90% accuracy on all test sets and 99% in most scenarios.
- The model removes filler words, resolves spoken corrections, and structures transcripts during recognition; it is available through Alibaba Cloud Model Studio.