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feature of speech

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双语例句

  • 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。
  • 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。
  • 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。
  • ( 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。
  • 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。
  • 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。
  • 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。
  • 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
  • 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。
  • 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。