读知识>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

      • 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。
      • A Speech Unvoiced/ Voiced Classification and Voiced Harmonic Extraction Algorithm& Using Third-order Cumulant Based on Sinusoidal Speech Model
        语音清浊音分类及浊音谐波提取算法&三阶累积量基于正弦语音模型的应用
      • 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 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;
      • 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。
      • 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。
      • 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。
      • The deficiency of this algorithm is due to only use a simple time-invariant threshold. It means that the time-invariant wavelet thresholding not only suppresses background noise but also some speech components like unvoiced parts.
        这种算法的缺点是所使用的简单的时不变的阈值不仅会消除背景噪声,也会消除语音信号中的有用的清音成分。
      • A Simple Method of Unvoiced/ Voiced Classification of Speech Signal
        一种组合参数的语音信号清/浊音判决方法
      • 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。