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

• It is proposed in this paper that electromyography ( EMG) signal can be used in unvoiced speech recognition systems.
  提出了基于肌电信号（EMG）的无声语音识别系统。
• 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。
• 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。
• 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
• 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。
• A segmentation algorithm for voiced/ unvoiced speech and a fast algorithm for pitch contour extraction in the time domain
  一种清浊音区分和基音轮廓提取算法
• 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。
• 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。
• 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。
• 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。