文章摘要
王宁,刘剑,刘苏洋.基于时延估计改进的主动隔声耳罩语音增强算法[J].声学技术,2023,42(6):785~793
基于时延估计改进的主动隔声耳罩语音增强算法
An improved speech enhancement algorithm for active noise insulation earmuff based on time-delayed estimation
投稿时间:2022-07-18  修订日期:2022-09-18
DOI:10.16300/j.cnki.1000-3630.2023.06.012
中文关键词: 有源噪声控制  时延估计  谱减法  广义互相关  语音增强
英文关键词: active noise control  time delay estimation  generalized cross correlation(GCC)  speech enhancement
基金项目:南京航空航天大学研究生创新基地(实验室)开放基金项目(xcxjh20210335)
作者单位E-mail
王宁 南京航空航天大学自动化学院, 江苏南京 211106  
刘剑 南京航空航天大学自动化学院, 江苏南京 211106 jliu@nuaa.edu.cn 
刘苏洋 南京航空航天大学自动化学院, 江苏南京 211106  
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中文摘要:
      为实现高噪声场所中的听力保护和不同角度入射声源的语音增强,文章采用基于谱减法改进的广义互相关(Generalized Cross Correlation, GCC)时延估计方法对麦克风阵列接收信号进行同步处理,将同步后的阵列信号与基于广义旁瓣抵消器(Generalized Sidelobe Canceller, GSC)的主动隔声耳罩语音增强算法结合,实现噪声抑制和语音增强。首先以GCC算法为基础,引入多窗谱估计的谱减法作为时延估计信号的预处理环节,提高传声器接收信号的信噪比对算法进行改进。随后对加入谱减法的GCC时延估计算法,比较分析了取不同加权函数的仿真结果。最后由时延估计结果对麦克风阵列信号进行时延补偿,对改进后的主动隔声耳罩语音增强算法的噪声抑制和语音增强效果进行了分析。与改进前算法相比,在不同噪声环境下输出的语音信号质量有明显提升。
英文摘要:
      In order to provide hearing protection and speech enhancement of environmental sound sources from different angles in a strong noise environment, an improved generalized cross correlation(GCC) delay estimation method, which is based on spectral subtraction is used to synchronize the signals received by the microphone array. By combining the synchronized array signals with the speech enhancement algorithm based on generalized sidelobe canceller(GSC) for active noise insulation earmuff, noise suppression and speech enhancement can be achieved. First,based on the GCC algorithm, the spectral subtraction of multi-window spectral estimation is introduced as the signal preprocessing link to improve the signal to noise ratio of the signal received by the microphone for algorithm improvement. Then, the simulation results of different weighting functions are compared and analyzed for the improved time delay estimation algorithm. Finally, the delay compensation of the microphone array signal is performed based on the time delay estimation results, and the noise suppression and speech enhancement effects of the improved speech enhancement algorithm are analyzed. Compared with the algorithm before improvement, the quality of the output speech signal is significantly improved in different noise environments.
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