52歌赋>英语词典>unvoiced翻译和用法

unvoiced

英 [ˌʌnˈvɔɪst]

美 [ˌʌnˈvɔɪst]

adj.  (想法)未用语言表达的,未说出的; 清音的; 不带声的

COCA.35767

牛津词典

    adj.

    • (想法)未用语言表达的,未说出的
      thought about but not expressed in words
      1. 清音的;不带声的
        produced without moving your vocal cords ; not voiced
        1. unvoiced consonants such as ‘p’ and ‘t’
          清辅音如 /p/ 和 /t/

      英英释义

      adj

      双语例句

      • The experimental analysis show s the performance is very satisfactory for pitch extraction and unvoiced/ voiced decision with this method under the general background noise.
        实验分析表明,该方法在干净和噪声环境下,基音周期提取和清浊判决具有令人满意的效果。
      • In this paper two relatively optimum features that can be used in isolating syllables in continuous Chinese speech have been generalized, through characteristics analysis of Chinese speech and the DFT spectral characteristics of various phonemes, especially the DFT distinction of voiced/ unvoiced sounds.
        本文通过对汉语语音的特性分析,及各类音素的DFT谱特性,特别是清/浊音的DFT谱差异的研究,概括出了可用于连续语音音节分割的两个相对最佳的动态特征;
      • Application and Realization of EMG in Unvoiced Speech Recognition
        基于EMG信号的无声语音识别应用及实现
      • Because of complex and non-stational of speech, especially unvoiced speech has no clear time and frequency character, which is very similar to white noise, classic noise reduction method is unsatisfactory.
        由于语音信号的复杂性和非平稳性,特别是清音没有明显的时域和频域特征,非常类似于白噪声,传统的降噪方法不尽人意,尤其是对宽带噪声的抑制效果不是十分明显。
      • This paper presents an efficient algorithm for speech recognition of isolated mandarin syllables by recognizing the unvoiced part and voiced part separately.
        本文从汉语音节的特点出发,提出了将音节的清音段和浊音段分别对比的语音共性识别方法。
      • According to the different characteristics between signal and noise on wavelet transform domain, also considering the voiced and unvoiced speech has different features, a modified method of speech denoising which is using a changing threshold at different scales is proposed.
        分析了信号和噪声在小波域的不同特征表现,并根据语音中浊音和清音的特点,提出了一种改进的多尺度多阈值的小波域语音去噪方法。
      • On account of the uncertainty of speech energy, this paper proposed using relative prediction residual energy as the discriminative parameter of training convergence, and discussed the convergence criterion of voiced phoneme and unvoiced phoneme respectively.
        考虑到语音信号能量的不确定性,提出了运用相对预测误差能量作为收敛判断的参数,并按清音和浊音两种情况讨论了收敛判据。
      • In this paper, multi-parameters ( short-time energy, short-time zero-crossing rate and autocorrelation function values) combination has been adopted to judge the unvoiced/ voiced of speech signal. Then circular average magnitude difference function has been used to calculate pitch.
        采用基于多参数组合方法(短时能量、短时过零率、自相关函数值)进行语音信号清浊音判别,利用循环平均幅度差函数进行基音周期计算。
      • MWI overcomes the inherent problems of the WI model and adopts a more reasonable waveform interpolation model, which includes uniform synthesizer for the unvoiced and voiced speech, new prototype extraction and discription method and dynamic programming to improve the precision of pitch extraction.
        MWI采用了一种更加合理的插值模型,包括统一的清音和浊音分析合成模型、新的典型波形的提取和表示方法,并且采用动态规划的算法增加基音周期估计的准确性。
      • Computer simulation results indicate that the unvoiced sounds of the enhancement speech with the proposed method are more obtained, whose quality and intelligibility both outperform those of the enhancement speech with DWT and the enhancement speech with WPD.
        计算机仿真结果表明,经本文方法增强语音的清音成分得到了较好保留,并且增强语音的主客观质量均优于DWT去噪法和WPD去噪法。