This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.
该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。
The simulation is categorized as a sampling method because the inputs are randomly generated from a probability distribution that stands in for a real data population.
模拟是按照采样方法分类的，因为输入是根据代表真实数据总体的概率分布而随机生成的。
A good agreement between simulation results and experimental data shows the effectiveness of the simulation method for automobile lateral vibration.
模拟计算结果与试验数据的比较说明了所提出的汽车侧向振动模拟方法的有效性。
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