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声道参数
vocal tract parameters
An overall design scheme of practical vocoder is presented. Its distinguishing features are as follows: (1) Extraction of vocal tract parameters: An improved "covariance-lattice" linear predictive method is selected. 本文提出的声码器设计方案的特点是:(1)声道参数抽取,采用改进的“协方差—斜格”的线性预测方法。 短句来源 The gain-normalized model of spectral distortion measure[2]is adopted in picking up vocal tract parameters. 在提取声道参数中采用了增益归一化模型谱失真测度［2］。 短句来源 “声道参数”译为未确定词的双语例句
In order to enhance synthetic speech quality,we use Itakura-Saito distortion mea- sure in LPC analysis,and multi-dimension residue vector as excitation. 为了提高综合语音质量,在提取声道参数中采用了 Itakura-Saito 失真测试,并用高维残差矢量激励源. 短句来源 相似匹配句对
Formant parameters are important parameters in track characteristics. 共振峰参数是反映声道特性的一个重要参数 . 短句来源 Scattering Parameter 散射参数 短句来源 design factors; 设计参数; 短句来源 An Effective Parameter for Recognizing Vowel in Chinese Speech-Vocal Tract Length 识别汉语元音的一个有效参数—声道长度 短句来源 
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For each pitch period, the analysis procedure is an iterative simultaneous estimation of the glottal and vocal tract parameters.
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It is used to optimize the vocal tract parameters to match a specified set of formant characteristics.
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This would include modifying vocal tract parameters and voice source signal properties.
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An overall design scheme of practical vocoder is presented. Its distinguishing features are as follows: (1) Extraction of vocal tract parameters: An improved "covariance-lattice" linear predictive method is selected. (2) Extraction of pitch period: An inverse filtered-simplified-AMDF method is proposed. (3) Parametric coding and speech synthesis: Nonuniform optimal coding for vocal tract parameters and logarithmic coding for pitch and gain are suggested. Acoustic-tube modeling synthesis by using slopping-tr... 本文提出的声码器设计方案的特点是:(1)声道参数抽取,采用改进的“协方差—斜格”的线性预测方法。(2)音调周期抽取,采用逆滤波和降低取样率的平均幅差函数方法。(3)参数编码和语言合成,采用声道参数的非均匀最佳编码和增益与音调的对数编码及三角波或伪随机数为激励的声管模型合成。(4)硬件实现,采用位片微处理机和硬件乘法器为主的系统。 文摘来源 Linear predictive technique has been widely used for speech signal processing, especially for low bit rate vocoder in recent years. However the conventional fixed frame processing does not suit well with speech signal for its nonstationary behavior. Also it is not reliable to exltraot pitch from the parameters (e.g. residual) obtained by this method. Due to these reasons, speech quality can be adversely affected. In order to improve the quality and intelligibility, in this paper it presents improvement to t... 线性预测技术已广泛用于语言信号处理,特别是用于设计低比特率的声码器。但是传统的定帧长分析方法不能很好适应语言的非平稳过程,同时由此得到的语言参数(例如预测误差)用于提取音调也容易出错,因而影响了合成语言的质量。为此我们进行了三方面的改进:(1)用自适应梯型算法代替现有定帧分析的线性预测方法,以便得到更准确的声道参数;(2)有限的变帧抽样语言参数,改善了合成语音过渡区的性能;(3)改进Gold-Rabiner的基音提取技术,使音调提取方法更简单可靠。传送数据率为2400和1200比特每秒。在计算机上模拟结果表明,2.4kb/s的方案所合成的语言较为自然易懂,且不难分辨熟人口音,l.2kb/s方案的合成语言也未严重降级。采用缓存器后,两种方案均可在固定数据率信道上传输。 文摘来源 When LPC vocoder exactly extracts vocal tract parameters,whether an excitation model is good of not will severoly affect the quality of the synthetic speech.Presently, the multi-pulse excitation model(MPEM)is considered as a good one.However its algorithm is complex.In this paper a simple and fast algorithm of MPEM is derived and a comparicon of it with the conventional one is made theoretically.Through com- puter simulation,it shows that the algorithm is of promise,at least,it is worth studing further. LPC 声码器在准确提取声道参数的情况下,激励模型的优劣直接影响着综合语音的质量。目前,多脉冲激励模型(MPEM)是一种较理想的模型,但传统的算法较复杂,难以实时处理。本文推导出了一种简单、有效、灵活、非迭代的多脉冲激励模型的算法。在理论上与传统算法作了比较,并做了计算机仿真实验。结果证明其简快算法是有前途的,至少是值得对它作进一步研究的。 文摘来源 << 更多相关文摘 
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