An unvoiced protest, doubt, suspicion. 内心的抗议、疑问、怀疑。
All voiced obstruents in Mediaeval Times became unvoiced in Era when Zhongyuan Rhymes was written. 中古声母中的全浊音到了《中原音韵》时代全部变读为相应的清音声母。
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
What else I can do to avoid dealing with unvoiced frustrations and uncomfortable feelings? 我还能做些什么来躲避那些说不出的失意和令人不快的感情呢。
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。
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。
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。
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。
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。
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。
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。
While interrogating, the interrogator will listen attentively to the statement of the criminal suspect, subtly identify his vocal language, like language and unvoiced language. 讯问时,讯问人员要认真听辨犯罪嫌疑人的供述,细致地识别其有声语言、类语言和无声语言。
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
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
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。
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
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
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。
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 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
Body language refers to the body's movement and it is unvoiced language. 身态语言是指人身体的动作,是不出声的语言。
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;
And a new pitch extraction algorithm, an active/ inactive frame decision algorithm and a voiced/ unvoiced frame decision algorithm are developed with the aims to improve the quality of the vocoder and reduce its overall computation load. 本文引入了一种新的基音周期计算方法,静音帧判决算法,清音帧判决算法,清浊音信息接收端重建等新算法,提高了合成语音的质量,降低了算法的总计算量。
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。
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。
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。
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。
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。
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。