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Research and Realization on the Voice Command Recognition System for Robot Control Based on ARM9

机译:基于ARM9的机器人控制语音指令识别系统的研究与实现。

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In this paper,based on the study of two speech recognition algorithms,two designs of speech recognition system are given to realize this isolated speech recognition mobile robot control system based on ARM9 processor.The speech recognition process includes pretreatment of speech signal,characteristic extrication,pattern matching and post-processing.Mel-Frequency cepstrum coefficients (MFCC) and linear prediction cepstrum coefficients (LPCC) are the two most common parameters.Through analysis and comparison the parameters,MFCC shows more noise immunity than LPCC,so MFCC is selected as the characteristic parameters.Both dynamic time warping (DTW) and hidden markov model (HMM) are commonly used algorithm.For the different characteristics of DTW and HMM recognition algorithm,two different programs were designed for mobile robot control system.The effect and speed of the two speech recognition system were analyzed and compared.
机译:本文在研究两种语音识别算法的基础上,给出了两种语音识别系统设计,以实现基于ARM9处理器的隔离式语音识别移动机器人控制系统。语音识别过程包括语音信号预处理,特征提取,频率倒谱系数(MFCC)和线性预测倒谱系数(LPCC)是两个最常见的参数。通过分析和比较这些参数,MFCC显示出比LPCC更强的抗扰度,因此选择MFCC作为动态时间规整(DTW)和隐马尔可夫模型(HMM)都是常用的算法。针对DTW和HMM识别算法的不同特性,针对移动机器人控制系统设计了两个不同的程序。对两种语音识别系统进行了分析比较。

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