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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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摘要

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:本文基于两个语音识别算法的研究,给出了两个语音识别系统的设计,实现了基于ARM9处理器的隔离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,特征提取的预处理,模式匹配和后处理.MEL频率谱系齐系数(MFCC)和线性预测Cepstrum系数(LPCC)是最常见的两个最常见的参数.Through分析和比较参数,MFCC显示出比LPCC更多的噪声免疫力,因此选择MFCC为特征参数。动态时间翘曲(DTW)和隐马尔可夫模型(HMM)是常用的算法。对于DTW和HMM识别算法的不同特征,为移动机器人控制系统设计了两个不同的程序。效果和速度分析了两个语音识别系统并进行了比较。

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