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
• 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

• not made explicit
  1. the unexpressed terms of the agreement
  2. things left unsaid
  3. some kind of unspoken agreement
  4. his action is clear but his reason remains unstated
  Synonym:unexpressedunsaidunstatedunutteredunverbalizedunverbalisedunspoken
• produced without vibration of the vocal cords
  1. unvoiced consonants such as `p' and `k' and `s'
  Synonym:voicelesssurdhard

双语例句

• 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。
• There are different characteristics in the relationship of wavelet transform coefficient and scale when the speech signal and the random noise are transformed on the different scale, and noisy sounds and unvoiced sounds are also characterized with different features.
  语音信号与随机噪声在不同尺度上进行小波变换时，其小波变换系数和尺度大小的特性关系存在着不同的特征表现，而且，浊音和清音也各有其特性。
• To prevent the quality degradation of the unvoiced sounds during the denoising process, we first separate unvoiced regions from noisy speech and then apply the thresholding method to them in a different way from other regions.
  同时，为了防止在抑制噪声的过程中对语音的清音段信息造成损失，首先对语音信号进行了清浊音判别，然后针对不同的判别结果对清音段语音和浊音段语音采用不同的阈值处理方法。
• 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
• 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。
• 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；
• 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
• But the unvoiced sound is more like a white noise signal, the voiced sound reflects the movement of the vocal tract and is a periodic signal, so more speaker information is contained in the voiced sound.
  由于清音是一种类白噪声的信号，而浊音是一种准周期的信号，反应的是说话人声道变化的情况，浊音包含有更多的说话人信息。
• 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。
• 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。