摘要
本文介绍了一种基于听觉谱特征参数的语音识别方法和系统.该系统采用高速DSP芯片TMS320C25,实现了语音信号的实时处理.用由此芯片开发的EISA插卡与计算机结合,构成了一个智能化语音输入实时识别系统.实验结果表明,在小词汇量特定人条件下,该系统的正识率可达到98%以上,在非特定人和有噪情况下,系统正识率分别为95%和90%以上.通过比较发现,该系统在正识率。
A new speech recognition system based on auditory spectrum feature parameters is presented in this paper. The TMS320C25 DSP chip is used to construct a EISA board and a real time speech recognition system is thus developed. Experiments show that the accuracy of the system is as high as 98% in the speaker dependent condition. In speaker independent and noisy condition, the accuracy is 95% and 90%. It is proved that the new method has higher accuracy and better robustness than the traditional one.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
1999年第2期110-114,共5页
Journal of Shanghai University:Natural Science Edition
基金
国家自然科学基金
上海市启明星计划
上海市曙光计划