动态时间归整的英文

• dtw

• "动态"英文翻译    trends; general trend of aff ...
• "时间"英文翻译    time; hour
• "动态时间" 英文翻译 :    dynamic time
• "动态时间波分多址接入" 英文翻译 :    dt-wdma dynamic time wavelength division multiple access
• "动态时间分开多路存取" 英文翻译 :    d-tdma dynamic time division multiple access
• "时间归一化" 英文翻译 :    time normalization
• "动态时滞" 英文翻译 :    dynamic lag
• "时间归一化法" 英文翻译 :    time normalization
• "静态时间" 英文翻译 :    quiet hour
• "生态时间" 英文翻译 :    ecological time
• "瞬态时间" 英文翻译 :    tra ient time; transient time
• "动态时隙分配" 英文翻译 :    dtsa dynamic time slot allocation
• "动态时制计算" 英文翻译 :    dynamic timing computation
• "进入终态时间" 英文翻译 :    settle-out time
• "进入状态时间" 英文翻译 :    buildup time
• "瞬态时间常数" 英文翻译 :    transient time constant
• "计列时差，时间归属差异" 英文翻译 :    timing difference
• "成待发状态时间" 英文翻译 :    arm time
• "非工作状态时间" 英文翻译 :    downtime
• "平均故障状态时间" 英文翻译 :    mean logistics down time (in hours)
• "动态时隙分配多址接入" 英文翻译 :    dsama dynamic slot allocation multiple access
• "静态时间电流继电器" 英文翻译 :    static time current relay
• "土地归整" 英文翻译 :    land consolidation
• "时间动态序列" 英文翻译 :    time-period dynamic series
• "中间归约" 英文翻译 :    intermediate reduction

• In this paper we utilize matlab voice box to abstract speech ' s characteristic parameter , use dtw to matching reference model with test model and obtain very high recognition rate
  本文通过matlab语音处理工具箱，提取输入语音的特征参数，采用动态时间归整算法来匹配参考模板和测试模板，获得了很高的识别率。
• By analyzing speech characteristic parameters and the basis methods of speaker recognition , we choose mfcc and lpcc ' s difference to be the speech characteristic parameters . using dtw to recognize text - dependent speech , we have developed a speaker identification system in this paper
  本文通过分析语音特征参数的特点和说话人识别的基本方法，提出了以美尔倒谱差分和线性预测差分为特征，通过动态时间归整算法来识别的文本相关说话人辨认系统。
• 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。