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该算法提出一种新的机器学习方法,可以解决发音评估中主观性和耗时性的问题。该算法利用 pair 比较和多模态正交融合算法来产生客观评价结果。在真实的教育场景中,该算法对流利度识别的 accuracy 达到 87.2%,F1 达到 86.2%. 对消极情绪识别的 accuracy 达到 84.6%,F1 达到 80.5%。
该算法提出一种新的机器学习方法,可以解决发音评估中主观性和耗时性的问题。该算法利用 pair 比较和多模态正交融合算法来产生客观评价结果。在真实的教育场景中,该算法对流利度识别的 accuracy 达到 87.2%,F1 达到 86.2%. 对消极情绪识别的 accuracy 达到 84.6%,F1 达到 80.5%。
Python
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》