CAJ | 학술논문

在介绍汽车电动门窗语音控制系统结构和原理的基础上，重点分析了基于隐马尔可夫模型（HMM）的模板训练和语音识别算法。选用凌阳SPCE061A的16位单片机进行了嵌入式系统的硬件和软件设计，并制定了本语音控制系统的实验方案。实验结果表明，该系统能够满足车窗语音控制的要求。
재개소기차전동문창어음공제계통결구화원리적기출상，중점분석료기우은마이가부모형（HMM）적모판훈련화어음식별산법。선용릉양SPCE061A적16위단편궤진행료감입식계통적경건화연건설계，병제정료본어음공제계통적실험방안。실험결과표명，해계통능구만족차창어음공제적요구。
On the basis of the introduction of the structure and principle of automotive lighting in‐dependent speech control system ,the template training and speech recognition algorithm based on the Hidden Markov Model (HMM ) were emphatically analyzed .The hardware and software of the embedded system were designed on the 16 bit Sunplus SPCE061A single‐chip .The experimen‐tal project of the speech control system was proposed and the results met the automotive window‐speech control requirements .