特定人

• The characteristics of numerical and application for the methods are illustrated by using simulation testing . especially , the influence of some factors , such as feature parameter , number of training samples , background noise and speaker independent or dependent , is discussed . traditional dtw is also compared with the method
  通过仿真计算，比较了三种神经网络算法的识别性能及应用特点，分析讨论了不同特征参数、训练样本数目、背景噪声以及是否特定人对识别结果的影响，并与传统的动态时间归整( dtw )方法进行了比较。