基于SOPC的说话人识别算法的实现与优化  

Implementation and optimization of speaker recognition algorithm based on SOPC

作　　者：何伟[1] 徐阳[1] 张玲[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030

出　　处：《计算机应用》2012年第5期1463-1466,共4页journal of Computer Applications

基　　金：211工程"三期建设(S-09102)

摘　　要：利用可编程片上系统(SOPC)灵活的可编程性和现场可编程门阵列(FPGA)强大的并行处理能力,在FPGA上实现说话人识别算法,并从识别速度和识别精度两个方面对系统进行优化。研究了说话人识别算法的原理,针对其特点构建了SOPC系统,用乒乓操作实现语音采集和处理,利用FPGA的硬件实现算法中较为耗时的模块,提高了识别速度,同时又利用遗传算法来生成模板码书,提高了识别精度。最终,实现对说话人身份进行识别的功能,系统具有较高的实时性和识别精度。Making use of the flexible programmability of SOPC （ System On a Programmable Chip） and strong parallel processing ability of FPGA （ Field Programmable Gate Array）, the speaker recognition algorithm was implemented on FPGA, and the system was optimized in terms of identification speed and accuracy. The principle of speaker recognition algorithm got researched, and according to the characteristics, the SOPC was constructed. It used ping-pong operation to implement voice collection and processing, and used the hardware of FPGA to deal with some time-consuming modules in algorithm so as to quicken the recognition. It also used Genetic Algorithm （GA） to generate template codebook to improve the identification accuracy. Finally, the system realized the function of identity recognition with high real-time quality and accuracy.

关 键 词：可编程片上系统 现场可编程门阵列 说话人识别 乒乓操作 遗传算法 

分 类 号：TP912.34[自动化与计算机技术]