摘要
为进一步改善聋哑学生高等教育教学环境,提升聋哑学生人才培养质量,对语音到手语的专项翻译进行了研究。提出了一种新型语音到手语的翻译方法,直接建立语音到手语编码的端到端识别模式,再将手语编码序列匹配输出由基动作组成的仿真手语动画,省去了传统语音到手语翻译过程中的各个中间步骤,避免了其间的误差积累,提升了翻译效率及准确率。实验结果表明,该端到端语音手语翻译方法能够达到较好的翻译效果,在教学应用中达到了预期效果,具有一定的现实应用前景。
In order to further improve the teaching environment of higher education and the quality of talent training for deaf-mute students,special translation of speech to sign language has been studied.A new speech-to-sign language translation method is proposed,which directly establishes the end-to-end recognition mode of speech-to-sign language coding,and then matches the sign language coding sequence to output simulated sign language animation composed of basic actions.This method eliminates all intermediate steps in the traditional speech-to-sign language translation process and avoids the accumulation of errors during the process,and improves translation efficiency and accuracy.Experiments show that this speech-to-sign language translation method can achieve better translation results.Also,it has achieved the expected effect in practical application of teaching,and has a certain prospect.
作者
杨淑莹
田迪
郭杨杨
赵敏
YANG Shu-ying;TIAN Di;GUO Yang-yang;ZHAO Min(School of Computer Science and Engineering,Tianjin University of Technology,Tianjin 300384,China;Engineering Research Center of Learning-Based Intelligent System,Ministry of Education,Tianjin 300384,China)
出处
《系统科学学报》
CSSCI
北大核心
2024年第1期71-77,共7页
Chinese Journal of Systems Science
基金
2019年天津市教育科学规划院教学成果奖重点培育项目(PYGJ-015)
2019年天津市虚拟仿真实验教学项目(津教政办[2019]69号)
2020年天津理工大学校级重点教学基金项目(ZD20-04)。
关键词
端到端
手语翻译
虚拟现实
深度学习
end-to-end
sign language translation
virtual reality
deep learning