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Speech Endpoint Detection in Noisy Environments Using EMD and Teager Energy Operator

Journal of Electronic Science and Technology 2010年第2期8卷 183-186页

作者： De-Xiang Zhang Xiao-Pei Wu Zhao Lv Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Accurate endpoint detection is a necessary capability for speech recognition. A new energy measure method based on the empirical mode decomposition （EMD） algorithm and Teager energy operator （TEO） is proposed to locate endpoint intervals of a speech signal embedded in noise. With the EMD, the noise signals can be decomposed into different numbers of sub-signals called intrinsic mode functions （IMFs）, which is a zero-mean AM-FM component. Then TEO can be used to extract the desired feature of the modulation energy for IMF components. In order to show the effectiveness of the proposed method, examples are presented to show that the new measure is more effective than traditional measures. The present experimental results show that the measure can be used to improve the performance of endpoint detection algorithms and the accuracy of this algorithm is quite satisfactory and acceptable.

关键词： Index Terms----Empirical mode decomposition endpoint detection noisy speech Teager energy operator.

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Locating Human Eyes in Face Images Based on Illumination Normalization and Progressive Thresholding

Locating Human Eyes in Face Images Based on Illumination Nor...

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The 5th International Conference on Computer Science & education(第五届国际计算机新技术与教育学术研讨会 ICCSE'10)

作者： Hua-bin Wang Liang Tao Xue-you Hu Shi-yi Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University HefeiAnhui230039China

Based on illumination normalization and progressive thresholding, this paper presents a novel algorithm for automatic localization of human eyes in still images with complex background. First of all, Retinex method is used to realize normalizing of the face image. Secondly, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Thirdly, a range of threshold values that would separate eye blocks from others in a segmented face image is estimated. With the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate.

关键词： detecting and locating human eyes:image segmentation:skin color segmentation:face recognition

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Mobility robustness optimization based on UE mobility for LTE system

Mobility robustness optimization based on UE mobility for LT...

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International Conference on Wireless Communications and signal processing (WCSP)

作者： Zhenzhen Wei Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University of Science and Technology Hefei China

Self-organizing networks (SON) for cellular systems are emerging as an important technology to reduce the cost of network deployment and maintenances. Mobility robustness optimization (MRO) is one of the main use cases of SON and has been intensively studied in 3GPP working groups. In this paper, we take the user equipment (UE) speed into account to solve the MRO problem. We propose a US-MRO algorithm, which assigns different Hysteresis parameters to UEs with different speed. The simulation results show that the success rate of Handover (HO) is improved and user experience is enhanced by the US-MRO algorithm.

关键词： Algorithm design and analysis Optimization Hysteresis Wireless communication Analytical models Robustness Simulation

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Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences

Subspace selection using semi-supervised harmonic mean of Ku...

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Chen, Si-Bao Wang, Hai-Xian Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui 230039 China Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781424459346

In many areas of pattern recognition and machine learning, subspace selection is an essential step. Fisher's linear discriminant analysis (LDA) is one of the most well-known linear subspace selection methods. However, LDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. A recent result, named maximizing the geometric mean of Kullback-Leibler (KL) divergences of class pairs (MGMD), can significantly reduce the class separation problem. Furthermore, maximizing the harmonic mean of Kullback-Leibler (KL) divergences of class pairs (MHMD) emphasizes smaller divergences more than MGMD, and deals with the class separation problem more effectively. However, in many applications, labeled data are very limited while unlabeled data can be easily obtained. The estimation of divergences of class pairs is unstable using inadequate labeled data. To take advantage of unlabeled data for subspace selection, semi-supervised MHMD (SSMHMD) is proposed using graph Laplacian as normalization. Quasi-Newton method is adopted to solve the optimization problem. Experiments on synthetic data and real image data show the validity of SSMHMD. ©2010 IEEE.

关键词： Discriminant analysis

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SPEECH ENDPOINT DETECTION IN NOISY ENVIRONMENTS USING EMD AND TEAGER ENERGY OPERATOR

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Journal of Electronic Science and Technology 2010年第2期000卷 183-186页

作者： DE-XIANG ZHANG XIAO-PEI WU ZHAO Lü Key Lab.of Intelligent Computing and Signal Processing of Ministry of Education.Anhui University Hefei 230039China

Accurate endpoint detection is a necessary capability for speech recognition. A new energy measure method based on the empirical mode decomposition (EMD) algorithm and Teager energy operator (TEO) is proposed to locate endpoint intervals of a speech signal embedded in noise. With the EMD, the noise signals can be decomposed into different numbers of sub-signals called intrinsic mode functions (IMFs), which is a zero-mean AM-FM component. Then TEO can be used to extract the desired feature of the modulation energy for IMF components. In order to show the effectiveness of the proposed method, examples are presented to show that the new measure is more effective than traditional measures. The present experimental results show that the measure can be used to improve the performance of endpoint detection algorithms and the accuracy of this algorithm is quite satisfactory and acceptable.

关键词： Empirical mode decomposition endpoint detection noisy speech Teager energy operator

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Two protocols for computing the sub-polygon's areas divided by a line

Two protocols for computing the sub-polygon's areas divided ...

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International Conference on Advanced Computer Theory and Engineering, ICACTE

作者： Hong Zhong Hongsheng Huang Runhua Shi Key Laboratory of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei China 230039 Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei Anhui PR China School of Computer Science and Technology Anhui University Hefei Anhui PR China

Secure Multi-party Computation (SMC) plays an important role in information security under the circumstance of cooperation calculation, so SMC on privacy-preservation is of great interest. In this paper we discuss an issue which is a special SMC problem. Based on Scalar Product Protocol, Monte Carlo Method and Oblivious Transfer, we give two solutions to the problem about how to decide the areas. That is, a polygon is divided into two parts by a line: S 1 and S 2 . Furthermore, we analyze the security and computational complexity, as well as the comparison of these two protocols. The results of analysis show that the proposed protocols are secure and efficient. We believe the two protocols will be useful in other geometric and combinatorial problems.

关键词： Computers Geometry

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Image denoising based on non-local means and multi-scale dyadic wavelet transform

Image denoising based on non-local means and multi-scale dya...

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2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

作者： Yu, Gang Yin, Yong Wang, Hongjun Liu, Zhi Li, Oengwang School of Information Science and Engineering Shandong University Jinan China Department of Radiation Oncology Shandong Tumor Hospital China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Xiangtan China

ISBN: (纸本)9781424455386

A variety of wavelet transform methods have been introduced to remove noise from images. However, many of these algorithms remove the fine details and smooth the structures of the image when removing noise. The wavelet coefficient magnitude sum (WCMS) algorithm can preserve edges, but it is at the expense of removing noise. The Non-Local means algorithm can removing noise effective. But it tend to cause distortion (eg white). Meanwhile, when the noise is large, the method is not so effective. In this paper, we propose an efficient denoising algorithm. we denoised the image with non-local means algorithm in the spatial domain and WCMS algorithm in wavelet domain, weithted, combined them and got the image that we want. The experiment shows that our algorithm can improve PSNR form 0.6dB to 1.0dB and the image boundary is more clearly. © 2010 IEEE.

关键词： Wavelet transforms

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GPU-Based Accelerated FDTD Simulations for Double Negative (DNG) Materials Applications

GPU-Based Accelerated FDTD Simulations for Double Negative (...

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2010 International Conference on Microwave and Millimeter Wave Technology(2010国际微波与毫米波技术会议 ICMMT2010)

作者： Shen Chen Sun Dong Wu Xian-liang Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei 230039 china

Recently, double-negative meta-materials are widely studied in scientific research. The double-negative (DNG) mediums are characterized by simultaneous negative permittivity and permeability. In order to make the FDTD method analyze the electromagnetic scattering and propagation for double-negative (DNG) medium, z-transform is applied to the FDTD method in the double-negative (DNG) medium. For the simulations, extremely large computer memory space and a long computational time b required. A parallel algorithm for the FDTD method on the state of the art graphics hardware is presented. The parallel computing techniques can be used to reduce the computation time significantly and have been widely applied in various complex FDTD applications. In this paper, we simulate the interaction between electromagnetic wave and DNG medium, and describe an impact of new GPU features on development process of an efficient Finite Difference Time Domain (FDTD) implementation.

关键词： Acceleration Finite difference methods Time domain analysis Electromagnetic scattering Computational modeling Permittivity Permeability Electromagnetic analysis Electromagnetic propagation Computer simulation

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A Secure Distributed key Management Scheme for AD Hoc Network

A Secure Distributed Key Management Scheme for AD Hoc Networ...

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2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Xianping Yuan Yan Xu Hong Zhong Jia Yu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui Univers College of Information Engineering Qingdao University Qingdao China

An identity-based threshold key management scheme without secure channel is proposed for ad hoc network. The master private key, which is shared among all nodes by the Shamir's secret sharing scheme, is produced by all nodes when network is formed. The nodes’ public keys are derived from their identities. In order to get the private key, each node needs to prove their identity to distributed CAs using a zeroknowledge proof protocol to get the share of private key. Compared with former schemes, our scheme doesn’t need any local registration authority(LRA), which is easy to be compromised by adversary. When a node leaves the network, shares of the master private key would be renewed. In the end, we prove our scheme is correct and secure.

关键词： Ad hoc networks Public key Polynomials Protocols Wireless communication

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Application of AWE to scattering analysis of the double-negative medium (RCS) within a wider band.

Application of AWE to scattering analysis of the double-nega...

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第九届国际天线、电波传播及电磁理论学术研讨会(ISAPE2010)

作者： Mei Yang Yu-Xin Sun Hui Wang Ming-Sheng Chen Xian-liang Wu Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei Department of Physics and Electronic Engineering Hefei Normal University Hefei China School of In Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei

The PMCHWT equation of the double negative media (DNG) is obtained based on its constitutive relationship. And the surface currents and radar cross section (RCS) at a single frequency point is computed by Method of moments (MOM). The asymptotic waveform evaluation (AWE) technique for dispersive dielectric medium is deduced and apllied to electromagnetic scattering analysis of double-negative medium within a given frequency band.

关键词： Moment methods Optical propagation Silicon compounds

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