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基于线性预测的数字语音参数估计 总被引:2,自引:0,他引:2
介绍了数字语音信号分析中的线性预测的基本原理。讨论了用线性预测估计基本语音参数的方法、并对实验仿真结果进行了分析,从实验分析结果可知:线性预测分析是一种估计精度较高、运算速度较快的语音参数估计方法。 相似文献
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采用同伦非线性模型对语音信号进行建模,将非线性可预测性作为盲源分离的准则,推导了基于同伦模型的盲源分离算法,成功地实现了语音信号的分离。这种方法是对基于线性预测模型盲源分离算法的推广,它既适用于分离采用线性预测模型建模的信号,也可以分离采用同伦非线性模型建模的信号(如语音)。理论分析和仿真表明,这种方法比基于线性可预测性的盲分离算法具有更广的适用范围,对于语音信号的分离,此种算法具有更快的收敛速度。 相似文献
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基于熵函数的语音端点检测方法 总被引:8,自引:0,他引:8
根据语音信号的波形特征,利用熵函数的性质,构造了一种特殊的熵函数,通过判断此函数值的大小确定是语音还是无声状态。实验表明,此方法计算简单而且具有很高的准确性。 相似文献
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潜水员在水下工作时,由于生理方面的原因,需要以氦氧混合气体作为呼吸气体,由于气体结构的变化出现了氦语音现象,使得语音发生畸变,降低了清晰度。通过介绍基于线性预测模型的氦语音增强算法,将频域的线谱对(LSP)分析应用于氦语音增强中,由于线谱对系数与语音信号谱包络有紧密的联系,用线谱对参数(LSP)构成合成滤波器时更容易保证稳定性,所以提出了一种基于线谱对系数(LSP)的氦语音增强算法。通过实验将这种算法与基于线性预测LPC的增强算法进行了比较,实验结果表明,两种算法均能对氦语音进行矫正,并且新的算法能够对共振峰进行单独调节,在不影响清晰度的同时最大限度地保持了原有语音的细节,提高了可懂度。 相似文献
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《中国新技术新产品》2015,(14)
本文简要阐述了当前电力市场负荷预测的手段,并通过引入多元线回归分析的主要理论,研究电网企业在用电量与宏观经济其他相关因素方面存在的内有关系,揭示其运行规律。 相似文献
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Keisuke Teramoto Kei Hirose 《International journal for numerical methods in engineering》2022,123(2):530-546
In the field of materials science and engineering, statistical analysis and machine learning techniques have recently been used to predict multiple material properties from an experimental design. These material properties correspond to response variables in the multivariate regression model. In this study, we conduct a penalized maximum likelihood procedure to estimate model parameters, including the regression coefficients and covariance matrix of response variables. In particular, we employ -regularization to achieve a sparse estimation of The regression coefficients and inverse covariance matrix of response variables. In some cases, there may be a relatively large number of missing values in the response variables, owing to the difficulty of collecting data on material properties. We therefore propose a method that incorporates a correlation structure among the response variables into a statistical model to improve the prediction accuracy under the situation with missing values. The expectation maximization algorithm is also constructed, which enables application to a dataset with missing values in the responses. We apply our proposed procedure to real data consisting of 22 material properties. 相似文献
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监控系统在工业生产和日常生活中有着广泛的应用,设计了一种采用嵌入式处理器与嵌入式操作系统相结合的音视频监控系统。系统硬件平台由CCD图像传感器、GO7007SB视频编码器、S3C2410嵌入式处理器组成,负责视频数据的采集和MPEG-4压缩编码;软件平台采用Windows CE 5.0作为操作系统,软件实现了数据流的RTP封装和发送。详细论述了系统设计、硬件设计和软件设计,实际运行效果表明该系统稳定可靠,能较好地满足监控要求。此设计架构可大大降低开发难度,缩短开发周期,具有很好的可维护性和性价比。 相似文献
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以Cu(NO_3)_2·3H_2O和Ce(NO3)3·6H_2O为改性剂,采用溶胶-凝胶法制备Cu-Ce/TiO2。通过正交设计与多元非线性回归结合分析Cu-Ce负配载量、Cu与Ce摩尔比、烧结温度对Cu-Ce/TiO2湿性能和光催化性能的显著性。获得优化Cu-Ce/TiO2制备参数,运用SEM、LPSA、XRD和UV-Vis对优化Cu-Ce/TiO2进行性能研究和表征分析。结果表明,各因素对Cu-Ce/TiO2湿性能和光催化性能的影响重要程度顺序:Cu-Ce负配载量Cu与Ce摩尔比烧结温度空白因素。优化Cu-Ce/TiO2制备参数:Cu-Ce负配载量为3.26%、Cu与Ce摩尔比为0.87∶1、烧结温度为505℃。优化Cu-Ce/TiO2的湿性能为0.0869g·g-1,光催化性能为50.7%。Cu-Ce/TiO2形貌较好,粒径分布为1 183.68~3 916.05nm,促使吸收边带发生红移。 相似文献
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A response surface method based on weighted regression for structural reliability analysis 总被引:20,自引:0,他引:20
Approximation methods such as the response surface method (RSM) are widely used to alleviate the computational burden of engineering analyses. For reliability analysis, the common approach in the RSM is to use regression methods based on least square methods. However, for structural reliability problems, RSMs should approximate the performance function around the design point where its value is close to zero. Therefore, in this study, a new response surface called ADAPRES is proposed, in which a weighted regression method is applied in place of normal regression. The experimental points are also selected from the region where the design point is most likely to exist. Examples are given to demonstrate the benefit of the proposed method for both numerical and implicit performance functions. 相似文献
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L.S. Dharmasena 《国际生产研究杂志》2013,51(11):3348-3365
Several measures of process yield, defined on univariate and multivariate normal process characteristics, have been introduced and studied by several authors. These measures supplement several well-known Process Capacity Indices (PCI) used widely in assessing the quality of products before being released into the marketplace. In this paper, we generalise these yield indices to the location-scale family of distributions which includes the normal distribution as one of its member. One of the key contributions of this paper is to demonstrate that under appropriate conditions, these indices converge in distribution to a normal distribution. Several numerical examples will be used to illustrate our procedures and show how they can be applied to perform statistical inferences on process capability. 相似文献
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For multivariable production process, knowing the first time of process really changes (change point) will help to accelerate the location of assignable causes and make measures for process adjustment. So effective estimating the change point is an important way to analyse the quality fluctuation of process. In the present study, an intelligent ensemble model for quality fluctuation analysis is proposed to estimate the variance change point in multivariable process. With the method, the process is decomposed based on moving window analysis, then different types of kernel functions are combined together to form the multi-kernel support vector machine model, which has combined the feature mapping capability of each basic kernel in the new feature space. The particle swarm optimisation is considered to search the optimised multi-kernel parameters. After that, each sub-characteristic is regarded as a pattern to be recognised to determine the change point by using the optimised intelligent ensemble model. Finally, a case study is conducted to evaluate the performance of proposed approach. It reveals that the method could estimate the time of variance change point in continuous production process accurately. 相似文献
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E. Ertugrul Karsak 《国际生产研究杂志》2013,51(3):723-738
The decision-makers have been experiencing difficulties in determining the most suitable robot alternative due to the increase in number of robots and the diversity in their application areas. A robust decision framework for robot selection should consider multiple and conflicting criteria and the dependencies among them. This paper introduces a decision model for robot selection based on quality function deployment (QFD) and fuzzy linear regression. The proposed approach benefits from the fact that QFD focuses on delivering value by taking into account the customer requirements and then by deploying this information throughout the development process, and applies this perspective to robot selection. Fuzzy linear regression is considered as an alternative decision aid for robot selection problems where imprecise relationships among system parameters exist. An example robot selection problem is presented to illustrate the proposed decision-making approach. 相似文献