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feature of speech

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  • 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。
  • 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)。
  • During simulation experiment, wavelet analysis technique is adopted to extract feature vectors of speech, the results show that SVM and FSVM have both higher correct recognition rate and shorter training time than RBF network.
    在仿真实验中,采用小波分析方法提取语音特征向量,识别结果表明,SVM和FSVM比RBF网络具有较好的泛化性能,训练时间也大大缩减。
  • 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。
  • 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。
  • 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。
  • ( 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。
  • 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。
  • Speech recognition has wide use in the field of communication and so on. Speech feature parameter extraction is an important part of the speech recognition system.
    语音识别在通信等领域有着广泛的用途,其中语音特征参数提取是语音识别系统的一个重要组成部分。