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feature of speech

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双语例句

  • Difference technology can express the dynamic feature parameters of speech.
    差分技术可以体现语音特征参数的动态特征。
  • And then introduces the functions and key technologies of pre-processing 、 feature extraction pattern matching and post-processing of speech recognition. Improved methods have been proposed in view of problems existed in traditional methods.
    然后分别介绍了语音识别的预处理、特征参数提取、模式匹配和后处理阶段的功能及其关键技术,并针对传统方法中存在的问题提出了改进方案。
  • For the length of feature vectors of speech samples is different, direct cutting and Dynamic Time Warping ( DTW) regulation, are put forward to solve the problem.
    提出了直接截取和DTW规正两种方法来解决语音样本特征向量长度不一致的问题。
  • Extraction and Analysis of the Feature of Complex Wavelet Speech Spectrogram Based on Mathematical Morphology
    基于数学形态学的复子波语音谱图特征提取与分析
  • Then the influence of the weighting of feature vectors, the time duration of speech segments and the various choose of factor α on the performance of a small open-set text-independent speaker identification system is researched by experiments.
    在小规模说话人辨认系统的实验研究中,研究了特征矢量的加权、语音段的时长以及α因子的选择对系统性能的影响。
  • This paper uses wavelet theory in noise-robust feature extraction of speech recognition and introduces a feature extraction method based on Gauss wavelet filter. The Gauss wavelet filter with human critical frequency band is obtained by studying human auditory characteristics.
    把小波理论应用于抗噪语音识别特征提取,提出了基于高斯小波滤波器的语音识别特征提取方法,通过对人耳听觉特性的研究,按照人耳临界带宽设计了一组高斯小波带通滤波器。
  • First of all, I analyse the prosodic feature of the news broadcasting speech with the knowledge of acoustic-phonetics. For example, the extending of the syllable duration is the acoustic characteristics of the pre-boundary syllables and the accented syllables.
    首先,通过实验的手段分析了新闻播音语言韵律特征的语音声学表现:即音节时长的拉长是边界前音节和重音音节的声学征兆;
  • One of the essential feature of intelligent human-machine interface is speech communication. So speech recognition has become an active research area.
    智能型人机界面的最基本特征是能进行人机的语音交互,因此语音识别成了当今研究的一大热门领域。
  • A Study on the Essential Feature of Speech Signals
    语音信号基本载体的研究
  • In order to assess speech quality effectively, a new approach of feature extraction of speech signals, MFSC ( Mel-frequency spectral coefficient), was proposed on the basis of the speech perception model.
    为了有效评价通信系统中的语音质量,基于语音感知分析,提出了Mel域上一种新的语音信号特征表示方法&MFSC(美尔谱系数)。