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feature of speech

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双语例句

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