一种适用于直升机强旋翼噪声环境的话音处理系统研究与实现
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摘要
为了解决直升机平台强旋翼噪声对飞行员通话干扰问题,设计一种基于Xilinx ZYNQ~?-7000平台的话音处理系统。该系统由模拟音频处理单元和数字音频处理单元组成,模拟音频单元完成飞行员模拟话音信号的匹配、滤波、预处理和A/D变换,数字音频处理单元利用ZYNQ平台强大的综合处理能力,完成数字话音信号的协议解析和混音控制,并针对直升机舱内噪音的特点,设计一套适用于直升机强噪声平台的话音处理算法。最后通过外场飞行试验表明,该系统能够有效抑制直升机驾驶舱内通话噪声,增强语音信号,提高飞行员通话的可听可懂度和舒适度。
A voice processing system based on the Xilinx ZYNQ~?-7000 platform is designed to solve the interference problem of the helicopter platform′s strong rotor noises to pilots′ voices. The system is composed of the analog audio processing unit and digital audio processing unit. The analog audio processing unit is used to complete the matching,filtering,preprocessing and AD transformation of analog voice signals of the pilot. The digital audio processing unit is used to complete the protocol analysis and mixed voice control of the digital voice signals in virtue of the strong and comprehensive processing ability of the ZYNQ platform. In allusion to the characteristics of the cabin noises in helicopter,an audio processing algorithm suitable for the strong noise platform of the helicopter is designed. The results of the outfield flight test show that the system can effectively suppress the voice noises in the cockpit of helicopter,enhance voice signals,and improve the intelligibility and comfortability of pilots′voices.
A voice processing system based on the Xilinx ZYNQ~?-7000 platform is designed to solve the interference problem of the helicopter platform′s strong rotor noises to pilots′ voices. The system is composed of the analog audio processing unit and digital audio processing unit. The analog audio processing unit is used to complete the matching,filtering,preprocessing and AD transformation of analog voice signals of the pilot. The digital audio processing unit is used to complete the protocol analysis and mixed voice control of the digital voice signals in virtue of the strong and comprehensive processing ability of the ZYNQ platform. In allusion to the characteristics of the cabin noises in helicopter,an audio processing algorithm suitable for the strong noise platform of the helicopter is designed. The results of the outfield flight test show that the system can effectively suppress the voice noises in the cockpit of helicopter,enhance voice signals,and improve the intelligibility and comfortability of pilots′voices.
引文
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[2]王春辉,王华明,欧飞.螺旋桨飞机舱内噪声特性分析[J].大众科技,2014,16(11):90-92.WANG Chunhui,WANG Huaming,OU Fei.Analysis on the cabin noise of propeller plane[J].Popular science&technology,2014,16(11):90-92.
[3]陈亚繁,许勇,杨军.单通道语音增强对低信噪比汉语可懂度的影响[J].电声技术,2016,40(10):49-52.CHEN Yafan,XU Yong,YANG Jun.Comparative study about effect of single-channel speech enhancement algorithms on Chinese intelligibility at low signal-to-noise ratios[J].Audio engineering,2016,40(10):49-52.
[4]刘国强,董明明,秦浩.直升机振动和噪声联合环境对人体的影响[J].航空科学技术,2016,27(11):30-33.LIU Guoqiang,DONG Mingming,QIN Hao.The effects of helicopter noise and vibration joint environment on the human body[J].Aeronautical science and technology,2016,27(11):30-33.
[5]董胡.倒谱距离和短时能量的语音端点检测方法研究[J].计算机技术与发展,2014,24(7):77-79.DONG Hu.Study on speech endpoint detection based on cepstrum distance and short-time energy[J].Computer technology and development,2014,24(7):77-79.
[6]纪振发,杨晖,李然,等.基于短时自相关及过零率的语音端点检测算法[J].电子科技,2016,29(9):52-55.JI Zhenfa,YANG Hui,LI Ran,et al.Speech endpoint detection algorithm based on short time autocorrelation and shorttime zero crossing rate[J].Electronic science and technology,2016,29(9):52-55.
[7]UPADHYAY N,KARMAKAR A.An improved multi-band spectral subtraction algorithm for enhancing speech in various noise environments[J].Procedia engineering,2013,64:312-321.
[8]章圣焰,崔明明.一种机载语音信号捕获方法设计与实现[J].航空电子技术,2017,48(1):52-56.ZHANG Shengyan,CUI Mingming.A design and implementation method for airborne audio signal capture[J].Avionics technology,2017,48(1):52-56.
[9]RIBEIRO F,FLORêNCIO D,ZHANG C,et al.CROWD-MOS:an approach for crowdsourcing mean opinion score studies[C]//Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing.Prague:IEEE,2011:2416-2419.
[10]SLAVATA O,HOLUB J.Evaluation of objective speech transmission quality measurements in packet-based networks[J].Computer standards&interfaces,2014,36(3):626-630.
[11]YANG G,SHIPYARD Q Q.Prediction of cabin noise based on grey system theory and reduction technology research[J].Ship engineering,2014(S1):249-251.