Compared with traditional LPC method, it can lower the order.
与传统的LPC谱包络提取法相比，它能降低所用的阶数。
Lanthanum praseodymium - cerium rare earth (LPC) was a patent composition.
镧镨铈混合稀土(LPC)是新型专利成分的混合稀土。
And then the stability of LPC model when quantizing the residual is proved.
进而证明了LPC模型在残差信号量化时的稳定性。
A novel iterative learning preview control (LPC) is developed in this paper.
提出了一种学习预见控制。
Al present, the linear predictive coding (LPC) is the best method for voice analysis.
线性预测编码(LPC)是当今语音分析中最好的方法。
LPC will operate by modulating the laser beam, without connecting itself to the laser system.
控制器的运作是调制激光束，而不需连接至激光系统。
Layered Process Control (LPC) are a system of audits performed by multiple levels of management.
逐层过程管理(LPC)是由多个管理层进行的系统审核。
In this paper, a method of the calculation of LPC coefficients is proposed by use of BP neural network.
现提出一种基于BP神经网络的线性预测系数的求解方法。
The computer simulation results show that the m-lpc algorithm can produce high quality speech at 2.4kbps.
计算机模拟结果表明，M—LPC算法可合成高质量的话音。
So, in this chapter, the basic principle and algorithm of LPC for speech signal have been discussed in detail.
所以这一章较为详细地讨论了语音信号线性预测编码的基本原理和算法。
In allusion to these problems, based on the characteristics of LPC, a system of CAD of aluminum alloy LPC is studied.
针对以上情况，本文结合低压铸造生产的特点，研究开发了一套铝合金低压铸造工艺CAD系统。
Compared to classical LPC approach, the experiments prove the superiority of this approach in terms of speech quality.
与经典的LPC方法的对比实验验证了该法在合成语音质量方面的优越性。
The early TTS system often employs synthesis methods based on parameters, such as formant synthesis or LPC synthesis.
早期的TTS系统多采用参数合成方法，如共振峰合成和LPC参数合成。
This article provides a method of realizing speech synthesis based on LPC, by using resonance peak parameter estimation.
本文基于线性预测技术(LPC)，对语音信号的共振峰参数估值，实现语音合成。
A codebook design method for a switched dual predictive multi stage vector quantization (DPMSVQ) scheme of LPC parameters.
提出了语音谱参数的切换双预测多级矢量量化算法(DPMSVQ)的码本设计方法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
Objective: To investigate the effects of LPC on contractile responsiveness of dog basilar artery and the protection of Shuluo.
目的：研究溶血磷脂酰胆碱（LPC）对狗脑基底动脉环收缩的影响及舒络的保护作用。
The formants were measured using LPC method. The averaged values and deviations of formants were given with statistical meaning.
共振峰的测量采用LPC法，给出了具有统计意义的前五个共振峰的平均值和散布。
Aim: To observe the effect of LPC on the pacemaker current if in ischemic myocardium and if the effect could be reversed by ISO.
目的：观察在缺血条件下，溶血磷脂酰胆碱对心肌起搏离子流的影响以及能否被异丙肾上腺素逆转。
LSP parameters can be obtained by solving an N-order non-linear equation relating to the linear predictive coding (LPC) coefficients.
LSP参数可以通过求解一个与线性预测系数(LPC)相关的非线性N阶方程得到。
The spectrum of auditory model and LPC-CEP shows that this auditory model not only represents speech signal well, but also is noise robust.
通过对听觉谱和L PC倒谱对比分析，得到了听觉谱适宜用作语音识别并具有良好的噪声鲁棒性的结论。
Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.
此外，一些典型情况的嘶哑语音信号被数字信号处理方法分析，这些方法包括FFT、LPC、倒谱技术、伪彩色编码等。
Firstly we analyze the speech with reversed polarity and present the idea of post-filtering of the LPC residual of these voiced speech frames.
该算法重点研究经典LPC分析后基音激励方向向下的语音，对这种浊音LPC残差进行后滤波以取代预增强的方法使其逼近语音激励。
The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
系统提取的音频信号特征为线性预测美尔倒谱系数（LPCMCC），采用动态时间规整（DTW）的识别算法。
This paper presents a codebook design method of an enhanced dual predictive multi-stage vector quantization (EDPMSVQ) scheme for LPC parameters.
文章提出了语音谱参数的增强双预测多级矢量量化算法(EDPMSVQ)的码本设计方法。
Code-Excited Linear Predictive (CELP) coding can provide natural speech quality at medium and low bit rates in contrast with conventional LPC vocoder.
码激励线性预测（CELP）编码在中低速率上与传统的LPC声码器相比可以提供更加自然的语音质量。
Compared with the conventional LPC algorithm, the m-lpc algorithm improves a lot in the aspects of excitation source, pitch detection and synthesis, etc.
与传统LPC的算法相比，M—LPC算法在激励源、基音检测及合成等方面都作了改进。
The experimental results show that the weighted cepstral distance measure works substantially better than LPC cepstral distance measure and other measures.
实验结果表明：这种加权倒谱距离度量结果优于LPC倒谱距离及其它度量方法。
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.
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。
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.
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。
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