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feature of speech

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双语例句

  • ( linguistics) pertaining to a feature of speech that extends over more than a single speech sound.
    (语言学)与语音特征有关系的超语段语音。
  • 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。
  • 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。
  • 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。
  • Objective To compare between two methods of speech input, with the aim of providing a reference for further research of phonetic feature of Chinese pathological speech.
    目的比较不同语音输入法的异同,为进一步认识汉语病理性语言的音声特征提供参考。
  • 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。
  • The system performance of dialect identification depends on feature extraction of the speech signal, and the reasonable selection of characteristic parameters can greatly improve the recognition rate on dialect identification system.
    方言辨识系统性能好坏取决于语音信号特征的提取,合理地选择特征参数对方言辨识系统的识别率有很大的提高。
  • 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;
  • 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。
  • Emotional Feature Analysis and Emotion Recognition of Speech
    语音信号中情感特征的分析和识别