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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

      • 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;
      • Based on speech sinusoidal model, an algorithm for the classification of unvoiced/ voiced speech and the extraction of pitch in voiced speech is proposed.
        论文基于语音正弦模型,提出了一种清浊音分类和浊音谐波提取算法。
      • A Method of Unvoiced/ Voiced Classification and Pitch Detection Based on Wavelet Transform
        一种基于小波变换的清浊音分类基音检测方法
      • Optimal wavelet threshold denoising method based on separation of unvoiced sounds and voiced sounds
        基于清浊音分离的优化小波阈值去噪方法
      • The surface electromyogram ( SEMG) signal of six unvoiced Chinese vowels are detected from the skin surface of zygomaticus major and anterior belly of the digastric, with AR model coefficients, cepstral coefficients and MFCC coefficients of SEMG signal taken as the original eigenvector.
        从颧肌和二腹肌前腹的皮肤表面检测无声发出6个汉语元音的表面肌电信号(SEMG),以该肌电信号的AR模型系数、倒谱系数和美尔倒谱系数作为原始特征向量。
      • Discrete Wavelet Transformation ( DWT) is used to realize voiced/ unvoiced segmentation for Mandarin syllable. The algorithm is speaker independent and robust for different sample rate and background noise, which defines the proper scale of DWT adaptively.
        采用离散小波变换(DWT)实现汉语普通话音节的清浊音分段,算法根据信号性质自适应地确定离散小波变换的尺度,具有较好的非特定人性质,并且对不同采样率及环境噪声有较强的适应性。
      • 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。
      • 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。
      • In the standard MELP algorithm the value of the relevant is small for the irregular cycles of the speech signal and we mistakenly believe that it is unvoiced. So it will introduce noise.
        在标准MELP的算法中,对于那些包含有不规则周期的语音信号段,计算得到的互相关值较小,把它误认为是清音,因此会引入噪音。