一种新型的嵌入式语音识别机器人系统

本文探讨和研究了一种新型的基于嵌入式系统以及DSP的语音识别工业机器人系统。系统采用嵌入式 DSP的方案使机器人的性能、成本、可配置性和可扩展性达到一个更佳的平衡点,同时在语音识别方面采用了改进的MFCC方法进行语音特征提取以及采用基于K均值分段的HMM模型进行实时语音学习与识别使算法的实时性和可移植性提高。

A new kind of Embedded-Based Speech Recognition Robot System

This paper has a discussion and research on a new design and realization of the speech recognition robot based on embedded system and DSP.The solution of embedded system and DSP has made the performance,cost,reconfigurable ability and extensible ability of the system to a high level.And the system has adapted the modified MFCC method to extract the feature of the speech and used the HMM model based on K segmented equalizing value to do the speech study and recognition.It has improved the transplanting and real-time ability of the arithmetic.