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Alibaba Releases New Speech Recognition Model, Medical Vocabulary Accuracy Exceeds 95%, Holds the Lowest Error Rate Globally

Alibaba released the large speech recognition model Qwen-Audio-3.0-ASR-Flash, focusing on accurate identification of professional vocabulary. The model optimizes context consistency, industry-specific words, and hot word customization, supports speech polishing, and directly outputs structured text. The team has built a high-quality vocabulary database covering multiple industries such as medical, IT, and stock markets. Evaluation shows significant improvement in industry-specific vocabulary recognition performance.

13.2k 3 minutes ago
Alibaba Releases New Speech Recognition Model, Medical Vocabulary Accuracy Exceeds 95%, Holds the Lowest Error Rate Globally

Aliyun Qwen-Audio-3.0-ASR-Flash Breaks Through the Last Mile of Professional Scenarios with Speech Recognition

On July 31, Alibaba's Tongyi Qianwen launched a speech recognition model featuring long audio context memory for consistent meeting transcription, and built-in industry lexicons (medical, IT) with 95.36% and 91.87% professional term recall, eliminating manual configuration. Available on Alibaba Cloud Bailian platform.....

16.2k 3 minutes ago
Aliyun Qwen-Audio-3.0-ASR-Flash Breaks Through the Last Mile of Professional Scenarios with Speech Recognition
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