Research and Implementation of Speaker Recognition Algorithm Based on FPGA

摘要：

As one of biometric identification technologies, speaker recognition shows better application prospects in many fields. At present, the implementation of speaker recognition algorithm on the hardware is mostly based on System on a Programmable Chip(SOPC) platform of Field Programmable Gate Array(FPGA) with Nios II Intellectual Property(IP) core. And the algorithm can be selected and optimized effectively on SOPC. However the high-speed and parallel operation of FPGA can’t be fully utilized. By researching and analyzing the speaker recognition algorithm, a FPGA-based speaker recognition method is presented in this paper. This method includes the Voice Active Detection (VAD), Mel Frequency Cepstrum Coefficient (MFCC) extraction and Vector Quantization (VQ) recognition algorithm. By using the technology such as Ping-pang operation, Pipeline and module reuse, it makes full use of FPGA’s speed. After testing, this method can effectively meet the requirement of real-time data processing.

关键词： Speaker Recognition Voice Active Detection MFCC Vector Quantization FFT FPGA

作者: Li Jinghong Tian Yanan Zhang Lijia

作者单位: College of Information Science and Engineering, Northeastern University, Shenyang 110819

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1161-1164

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）