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feature of speech

[网络] 演讲特点

网络

双语例句

  • 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。
  • 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。
  • 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。
  • 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。
  • 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。
  • 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;
  • 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。
  • MFCC feature extraction of speech based on pitch period
    基于基音周期的语音MFCC参数提取
  • 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。