【摘要】 针对实时性问题提出了一种以FPGA为硬件平台的说话人识别系统解决方案。该方案以MFCC为语音特征,采用了基于矢量量化的说话人识别算法。系统主要包括语音信号采集、端点检测、特征提取和识别判断4个部分。经测试证明,该系统完成了设计所需的基本功能。在实验室条件下,当系统时钟为50 MHz时,完成一次4码的识别耗时15.932 ms,对12码的识别率为93.3%。更多还原

【Abstract】 For real-time problem,this paper presents a speaker′s voice recognition system solution that makes the FPGA as the hardware platform.The system consists of four parts: signal acquisition,endpoint detection,feature extraction and identification.The experiment results show that the time-consuming is 15.932 ms on the 4 codebooks and 50 MHz-clock system,the identification rate is 93.3% on the 12 codebooks system.This kind of design improves the system′s recognition speed,which is an effective program to solve the real-time problem.更多还原