基于FPGA的说话人识别系统设计与实现

针对当前基于DSP等硬核处理器的嵌入式说话人识别系统存在训练和辨认时间较长的问题,提出一种基于FPGA平台与矢量量化原理的说话人识别系统实现方案.在采用遗传算法进行矢量量化的说话人识别的系统中,该方案实现的硬件并行运算结构可大大减少求适应度的耗时.经测试,该实现方案在保证识别率前提下,可有效提高训练与识别速度.

Disign and Implementation of Speaker Recognition System Based on FPGA

Aiming at the shortcoming of low recognition and training speed in embedded speaker - recognition system based on DS Phard-core processor, a new scheme of system based on FPGA and vector quantization principle is presented. In the speaker-recognition system based on the vector quantization and generation algorithm, a fitness parallel process hardware structure is presented by the scheme which consumes much less time than software processing while getting the fitness. The test shows that the system uses this method obtains both high recognition rate and higher speed in training and recognition.