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零率的英文

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"零率"怎么读用"零率"造句

英文翻译手机手机版

  • zero rate

例句与用法

  • The major work and achievement of this paper are presented as follows : ( 1 ) we review the main methods of audio retrieval at home and abroad
    对音频信号的短时过零率、短时能量、 mel倒谱系数等进行主要分析。提出均值mfcc系数作为音频特征的方法。
  • In this article , double threshold , iteration is applied to improve segmentation algorithm based on signal energy , and short - time zero - crossing rate is proposed for the first time to determine the exact boundaries between different components of heart sound
    本文通过使用双门限、迭代等方法,改进了基于信号能量的分段算法,并首次引入短时过零率以更准确地定位分段边界。
  • The ball mill load - control apparatus adopted the assembly language and the c51 language to program and its concerned software was designed , including the data collection , the wave - percolation , the short - time average over - zero ratio , the estimation of the power chart and the average - period chart
    磨机负荷控制仪软件使用汇编和c51编程,本文进行了相关软件的设计,包括数据采集、滤波、短时平均过零率、功率谱估计和平均周期图等。
  • The initial vsd process uses two main characters , the average instantaneous energy and the average instantaneous zero crossing rate ( zcr ) . to make the first recognition for the start and the end , the emphasis of which is to select the appropriate value of the threshold and the length of frame . in the final vsd process , the author compares several characters and confirms the new recognition character
    初步分段过程使用了能量和过零率这两个主要特征进行端点检测,重点是合理选择两个重要参数? ?门限和统计帧长度的取值;在最终分段过程中,笔者首先通过比较几种特征的识别效果,选择卡尔曼滤波参数作为再次分段的识别特征,还提出了一种新的识别特征? ?周期性缓变特征,使用这两个特征分别在子语音段内进行端点检测。
  • It was demonstrated that this sort of load - control apparatus has superior performance . we used a electric transmitter as the transducer to collect the sound signal , using the daq toolbox of the matlab to achieve the collection of the sound signal , and using the dsp toolbox of the matlab and the sound - launch technology to analyze the time - domain characteristic and the frequency - domain characteristic of the signal , chiefly analyze its short - time average amplitude , its short - time over - zero ratio and its estimate of the power chart and the average - period chart
    实验中使用了驻极体话筒作为球磨机声音拾取传感器,利用matlab中的数据采集( daq )工具箱实现对磨音的采集,利用matlab信号分析( dsp )工具箱和声发射技术对磨音进行时域和频域分析,主要分析磨音的短时平均幅度和能量、短时平均过零率、功率谱估计和平均周期图。
  • The first part of the paper is designing the testing project for grounding resistance and insulation resistance in a new way . using 16bits ad converter with programmable control amplifier replaced the way which used changing resistance to change measure range . lt is not only improved testing precision and develop the system expediently , but also reduced the area of the circuit boardwith the new way . in order to make the electric implement safety testing system have upstanding expansibility , the software and hardware of the system adopted the modularization design . adopted mcu atmegal28 as a master mcu which control mmi , realtime clock and communication with slaver mcu . atemga8 as the slaver mcu to realize testing function . so it is easy to add or reduce the testing project . the testing implement system has been developed successfully , and the comments for the system is that it has high precision , high expansibility and easy maintain . but considering the electric implement system should have intelligence and humanity abi lity . so this paper bring forward a scheme of electric equipment safety testing embedded system with speech control . after introduce the basic theory of speech recognition , the paper expatiate the characters of this system . the system is a noise conditon , not special people , small glossary , insulation word system . with these characters design the speech recognition as fellow . utilizing cross zero ratio and short energy to ensure jumping - off point and end point ; adopting mfcc as the character parameters of speech recognition ; the character parameters than be recognized by dtw . in order to ensure the credibility of this project , first realized by matlab in computer
    在介绍了语音识别的基本原理后,阐述了本系统的特点:本系统是一个噪声环境下非特定人、小词汇量、孤立词的语音识别系统。根据本系统的这些特点设计了如下语音识别方案:利用过零率和短时能量相结合的方式确定语音端点;采用mel频率倒谱系数( mfcc )作为语音识别的特征参数;得到的特征参数最后通过动态时间规整( dtw )的模式识别方法进行识别。为了确保本系统实现方案的可靠性,首先通过计算机利用matlab软件来仿真,在算法仿真实现后又进一步增加环境的复杂性:加上较大的环境噪声、突发性的噪声等,再通过修改参数、修改参考模板、两级识别等各种提高语音识别精度的方法来提广东工业大学工学硕士学位论文高识别率。
  • The traditional detection algorithm , based on zero - crossing or energy , will not acquire ideal effect when the signal - to - noise is low or the signal is weaker . therefore , to resolve the real problem in the real environment that all kinds of random noise and speech signal exit together , some new algorithm must be put forward . account for the complexity of real noise , we integrate the wavelet transform and high - order statistics and advance a new algorithm ; the algorithm can effectively separate the speech signal and the non - gauss noise
    基于过零率和能量的传统检测算法,在噪声环境比较复杂的情况下效果很不稳定,尤其是信噪比较低或者语音信号较弱时,检测效果很不理想,因此,在多种语言和噪声随机出现、噪声和语音强弱不一的实际噪声环境下,必须利用新的算法提取有用信号和噪声信号的有效特征,才能解决实际的问题。
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