feature of speech

feature of speechfeature of speech
  1. A Study on the Essential Feature of Speech Signals

    语音信号基本载体的研究

  2. 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。

  3. ( 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。

  4. Searl considers the intentionality as the primary feature of speech act , holding that the illustration of language meaning is inseparable from intentionality .

    塞尔认为意向性是言语行为的基本特征,要想阐释语言的意义,必须研究意向性。

  5. Finally , according to the feature of speech recognition system which is designed in the paper , the principle of DTW arithmetic is discussed to be the recognition method of this system and the simulation process of the recognition voice is done using this method .

    根据本文设计的语音识别系统的特点,确定了动态时间归正(DTW)语音识别方法作为本系统的识别方法,并采用该算法对要识别的语音进行了仿真,得到正确的识别结果。

  6. According to the simulated results , the power spectrum of ARMA model is more accurate than that of AR model , which is more suitable to reflect the feature of speech signal . ( 4 ) ARMA model is used in CELP .

    由仿真可知,ARMA模型比AR模型的功率谱更加准确,更适合描述语音信号的特性。(4)将ARMA应用到CELP算法中。

  7. 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。

  8. MFCC feature extraction of speech based on pitch period

    基于基音周期的语音MFCC参数提取

  9. 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;

  10. 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。

  11. 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。

  12. 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。

  13. 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)。

  14. 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。

  15. 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

  16. 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

  17. 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

  18. 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。

  19. 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。

  20. In the new model is established , the speech recognition system , the selection of the speech signal of speech signal feature extraction and recognition of speech signal analysis .

    在新的模型下,建立了语音分析识别系统,对所选取的语音信号进行特征参数提取和语音信号分析识别。

  21. 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;