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feature of speech

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双语例句

  • Using the invariable characteristics of PCNN time series and entropy series of Spectrogram, people can extract the feature of speakers speech and recognize the speakers rapidly and effectively.
    该方法将语谱图输入到PCNN后得到输出图像的时间序列及其熵序列作为说话人语音的特征,利用它的不变性实现说话人识别。
  • 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 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。
  • The feature of the ISD ( Individual Speech Device) is that it adopts direct analogue record and access technique, and that speech signals, in their original forms, are recorded into analogue memory devices directly and can be preserved for a long period.
    指出ISD单片语言器件的独特之处,是采用直接模拟存储技术,语音信号以其原本的模拟形式直接存入模拟量存储器中并长远保存。
  • 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。
  • 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
  • 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。
  • 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。
  • 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;
  • Study on Robust Feature Extraction Method of Speech and Audio-based Context Recognition
    稳健语音特征和音频场景识别方法的研究