读知识>英语词典>feature of speech翻译和用法

feature of speech

[网络] 演讲特点

网络

双语例句

  • In technology, speech features reflecting the physical and action feature of individuals arc distilled from speech and the identity of the speaker is automatically recognized according to these speech parameters.
    从技术上主要是从说话人语音信息中提取反映说话人的生理和行为特征的语音参数,并根据这些语音参数自动识别说话人的身份。
  • 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。
  • The colloquialism is the most distinctive feature of the host's verbal speech and the host's gestures, which should conform to the plain, authentic, natural and friendly context, are closely associated with the host's refinement and creativity.
    播报的口语化是电视新闻节目主持人有声语体构成的最大特色,主持人的体态语体必须符合新闻节目朴素、真实、自然、亲切的语境,同时与主持人的内在修养和创造性密切相关。
  • 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。
  • The feature distribution of speech and non-speech, and the form of change, are examined for speech detection.
    介绍和提出了一种基于x~2分布的突变检测和一种语音/非语音决策树;
  • Design and analysis of acoustic feature for corpus of speech synthesis
    语音合成语料库的设计与声学特征分析
  • 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)。
  • The problem of syntactic feature of speech is one of the important contents in syntactic study.
    词类的句法特征问题是句法研究中的重要内容之一。
  • A Study on the Essential Feature of Speech Signals
    语音信号基本载体的研究
  • 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。