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%。
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 identifica- tion 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.
出处
《电子技术应用》
北大核心
2012年第11期16-18,21,共4页
Application of Electronic Technique
