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pitch periods
相关语句
  基音周期
     This algorithm gets pitch periods by applying several attributes, such as the amplitude and position of Peak and quadric Peak of speech waveform and distance from one Peak to the former peak. The algorithm has the following advantages;
     该算法利用语音波形的一次峰值点和二次峰值点的幅度和位置以及后峰到前峰的距离等几种属性,来判断决定基音周期值,具有算法简单、运算量小、能准确定位各基音周期位置的特点。
短句来源
     (3) For the ideal synthesis, uses a method of changing the long of frame to get pitch periods of given people natural four tones.
     (3)提出一种变长分帧的方法。 为了较理想的合成出特定人的自然语音,采用变长分帧方法对特定人的自然语音的四声提取基音周期序列。
短句来源
     The evaluation of pitch periods is exactly performed by a pitch detector which is based on multiresolution of wavelet transform. In order to represent the dialect and the accent from the acoustic phonetics perspective, the Chinese accent is quantified for the first time, which is also applied to speaker identification to realize the recognition with the combination of the speaker′s innate and acquired characteristics.
     利用小波变换多分辨的特性 ,提取出真正地反映基音周期变化的基频包络 ,从声学语音学的角度去认识方言和口音 ,首次提出了汉语口音的参量表征 ,并应用到说话人识别当中 ,以实现从听觉的角度出发 ,进行说话人的先天特性与后天特性相结合的说话人识别 . 结果表明 ,从基频包络中可以表现口音的一些表征 ,有助于认识说话人的特性 .
短句来源
     Firstly, the pitch periods are extracted. Secondly, pitches are marked according to the speech waveform. Then, the pitch periods are altered and the new speech with modified phases are synthesized based on the TD-PSOLA algorithm.
     首先求出语音信号的基音周期,接着对语音信号进行基音标注,然后对基音周期进行更改,最后,将语音信号按照更改后的基音周期基于时域基音同步叠加算法进行语音合成。
短句来源
     A vocal signal sequence is treated as that is formed by piling up pitch periods after varying integer delay time.
     语音信号序列可以看成是基音周期经整数倍延时后叠加而成。
短句来源
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  “pitch periods”译为未确定词的双语例句
     And the algorithm will get the pitch periods of the humming tones.
     该算法在基于歌唱片段的不定长分割算法的基础上,计算取得哼唱片段各音调的基频周期值。
短句来源
     The evaluation of pitch periods is exactly performed by a pitch detector which is based on the singularity detection of signal and multiresolution analysis with wavelet transform.
     根据小波变换检测信号突变的性质,充分利用多分辨率分析,准确可靠地实现了基音检测;
短句来源
  相似匹配句对
     And the algorithm will get the pitch periods of the humming tones.
     该算法在基于歌唱片段的不定长分割算法的基础上,计算取得哼唱片段各音调的基频周期值。
短句来源
     periods were 8 d .
     每组灌注期为8d。
短句来源
     IMPREGNATING PITCH
     浸渍剂沥青
短句来源
     pitch at 1.5;
     螺距1.5;
短句来源
     Experimental periods were 60d.
     试验期为60天。
短句来源
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  pitch periods
The selection of these candidate pitch periods is described next.
      
The potential pitch periods tend to consist of the pitch frequency track and its harmonics.
      
The pitch periods synthesized by the decoder have a range from 20 to 160.
      
The optimization results in Kopt number of pitch periods in a given speech segment.
      
The proposed model can be extended to track more than two pitch periods.
      
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A method of pitch extraction by Linear Prediction Code (LPC) analysis with predeter-ming voiced sounds is presented in this paper. At first, the voiced parts in speech signal is identified by the difference a0-a1, where a0=1 and a1 is the first coefficient of linear predictor, then only the voiced parts are processed to extract the pitch period. When pitch detecting, the data rate is compressed by half, the 8 coefficients of inverse filter are calculated by autocorrelation LPC method, and then for the residual...

A method of pitch extraction by Linear Prediction Code (LPC) analysis with predeter-ming voiced sounds is presented in this paper. At first, the voiced parts in speech signal is identified by the difference a0-a1, where a0=1 and a1 is the first coefficient of linear predictor, then only the voiced parts are processed to extract the pitch period. When pitch detecting, the data rate is compressed by half, the 8 coefficients of inverse filter are calculated by autocorrelation LPC method, and then for the residual signal, the output of the inverse filter, the pitch period is extracted by the Average Magnitude Difference Function (AMDF) method, and the curve of pitch period is linearly interpolated and nonlinearly filtered.The results obtained by our method is compared with those obtained by a semi-automatic pitch detector and by SIFT method. It is shown that the algorithm presented in this paper is quite precise and effective for continuous speech with background noise below 40 dB. It is unnecessary toalculate the pitch periods in voiceless sounds and silence periods, and the classification of voiced or unvoiced sounds is rather precise.

本文介绍一种预分浊音型的LPC基音提取算法,对语言信号先用线性预测系数a_0和a_1的差值分出浊音区,然后只对浊音部分进行基音提取。提取基频时,数据率减半,用LPC的自相关方法产生8个预测系数的倒滤波器,倒滤波后的误差信号,用平均幅差函数(AMDF)方法提取基频,再线性插值,最后用非线性平滑滤波,并将所得结果和一个半自动的精确算法,以及简化倒滤波(SIFT)算法进行比较,说明我们提出的算法,对背景噪声40dB以下的连续语言是准确有效的。它避免了清音和无声间隙区的音调计算,且浊音和清音的判别比较准确。

Tone is the most important character of Chinese speech.The four tones of modern standard Chinese pronounciation can express meanings.Although a syllable isconstituted by the some initial consonant and simple or compound vowel,the differenttone can express different meanings.This paper considers the problem of extractingtone which is carried out by lattice method of linear predictor coefficients.The voicedand unvoiced classification is carried out according to the mark of the first reflectioncoefficient and the...

Tone is the most important character of Chinese speech.The four tones of modern standard Chinese pronounciation can express meanings.Although a syllable isconstituted by the some initial consonant and simple or compound vowel,the differenttone can express different meanings.This paper considers the problem of extractingtone which is carried out by lattice method of linear predictor coefficients.The voicedand unvoiced classification is carried out according to the mark of the first reflectioncoefficient and the sum of forward and backward prediction error.Moreover,predictionerror signal is used to define the pitch period of voiced sound.The pitch of the fourtones of Chinese speech varies with regularity.Consequently,we can identify wordmeaning according to the regularity of pitch's variety.

声调是汉语的重要特点之一。汉语的声调能够区分同音节词的词义,声母和韵母均相同的字因声调不同而分别表达不同的意义。本文介绍用LPC 格型法提取声调。根据第一反射系数的符号及前后向预测误差值来区分清音和浊音。利用预测误差信号确定浊音部分的基频周期。汉语四声的基频具有一定的变化规律。因此,根据基频变化规律,可以确认字义。

Although the pitch is different in absolute value the pitch contours corresponding to a particular Chinese tone should have a similar pattern which is a distinctive feature in speech perception. This is an important feature of Chinese language itself.A lot of work on the pitch patterns of Chinese tones has been done, but most of them were only qualitative or oversimplified. It is somewhat difficult to apply those results directly to design of speech synthesis by rule. This paper has given 15...

Although the pitch is different in absolute value the pitch contours corresponding to a particular Chinese tone should have a similar pattern which is a distinctive feature in speech perception. This is an important feature of Chinese language itself.A lot of work on the pitch patterns of Chinese tones has been done, but most of them were only qualitative or oversimplified. It is somewhat difficult to apply those results directly to design of speech synthesis by rule. This paper has given 15 new statistical results of tone patterns of Chinese disyllabic and each pattern can be formulated simply by a normalized function P(t) in time domain which is directly proportional to Tomax and inversely proportional to To (t), where Tomax is the reciprocal of the lowest fundamental frequency in the syllable and To(t) the pitch period at time t.The pattern P(t) can directly be used for the synthesis of Chinese speech by rule and it is helpful to improve the naturalness of synthesis speech.

当人们说汉语(普通话)时,尽管其调值因人而异,但调型必须具有一定的模式才能成为听辨上的区别特征。这是汉语语言本身的重要特点。 关于汉语声调图样的分析,人们曾经做了大量的研究工作。不过,大部分工作只限于定性分析,或者从数学上寻找其近似表达式。要把以前的结果直接应用于按规则合成语言的工程设计就有点困难。本文给出有关汉语二字调图样的15组统计结果,每种图样可简单地用一个时域上归一的函数P(t)来描述,它反比于语调周期T_0(t),而正比于该字最低基频的倒数T_(0max)。 按照我们的分析数据,文中还给出汉字二字调的其它若干特点: (1)每种声调的起始和结尾部分总有“弯头”和“降尾”的过渡状态,这种过度状态约占全声调图样的10%—15%。本文用一个多维数组q(15,2,n)来描述这种过渡状态; (2)二字词第一字的上声调并不显示出它那最后部分的上升调值。该现象曾被汉语语言学家和语音学家称为“半上声调”; (3)二字词第二字的调长比第一字的调长稍短,大约为第一字调长的66%。 上述的声调图样P(t)能直接用于按规则合成汉语语言,而且有助于改善合成语言的自然度。

 
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