双语翻译机辅助扩音装置优化研究  

Research on Optimization of auxiliary public address device of bilingual translator

作　　者：安蓉[1] AN Rong(Xianyang Normal University,Xianyang Shaanxi 712000,China)

机构地区：[1]咸阳师范学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2023年第3期223-227,共5页Automation & Instrumentation

基　　金：咸阳师范学院“青年骨干教师”培养项目(XSYGG202003);陕西省教育科学研究院“十四五”规划2021年度课题《“双一流”建设目标下陕西高校日语专业混合式教学的难点与突破路径研究》(SGH21Q034);2021年度咸阳师范学院专项科研基金项目《跨文化交际中的身份认同构建研究—中国抗疫故事日译为例》(XSYK21001)。

摘　　要：针对扩音装置早期声反馈抑制效果不明显的缺点,提出基于自适应滤波器的扩音装置声反馈抑制优化算法。首先对扩音装置进行数学建模,然后以Sigmoid函数为基础,构建变步自适应滤波算法—SVS-VMLMS算法。在MATLAB平台上进行仿真实验,实验结果证明,基于LSM算法的声反馈抑制算法的系统增益值为8.9 8dB;基于NLSM算法的声反馈抑制算法的系统增益值为9.20 dB;基于SVS-VMLMS算法的声反馈抑制算法的系统增益值为9.37 dB。通过搭建双语翻译机扩声系统平台,对三种算法进行实测,实验结果证明,基于SVS-VMLMS算法的声反馈抑制算法取得系统增益为8.7 dB,系统增益大于其余两种算法。可得,基于SVS-VMLMS算法在双语翻译机扩音系统中效果更佳。Aiming at the disadvantage that the early acoustic feedback processing methods have no obvious suppression effect on acoustic feedback, an acoustic feedback suppression algorithm based on adaptive filter is proposed. Firstly, the mathematical model of sound reinforcement system is established, and the acoustic feedback suppression algorithm based on adaptive filter is introduced. A step changing adaptive filtering algorithm based on sigmoid function svs-vmlms algorithm is proposed. Simulation experiments are carried out on the MATLAB platform. The experimental results show that the acoustic feedback suppression algorithm based on LSM algorithm, NLSM algorithm and svs-vmlms algorithm has achieved system gains of 8.98db, 9.20db and 9.37db respectively. The experimental platform of sound reinforcement system is also built to measure the three algorithms. The experimental results show that the acoustic feedback suppression algorithm based on svs-vmlms algorithm achieves a system gain of 8.7db, which is greater than the other two algorithms. It can be seen that the performance of svs-vmlms algorithm is better than the other two algorithms.

关 键 词：自适应滤波器 声反馈抑制 扩音装置 SIGMOID函数 SVS-VMLMS算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]