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Improving SVM by Modifying Kernel Functions for Speaker Identification Task 基于改进核函数的支持向量机说话人识别
J. Digit. Content Technol. its Appl. Pub Date : 2010-09-30 DOI: 10.4156/JDCTA.VOL4.ISSUE6.12
S. Z. Boujelbene, Dorra Ben Ayed Mezghanni, N. Ellouze
{"title":"Improving SVM by Modifying Kernel Functions for Speaker Identification Task","authors":"S. Z. Boujelbene, Dorra Ben Ayed Mezghanni, N. Ellouze","doi":"10.4156/JDCTA.VOL4.ISSUE6.12","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE6.12","url":null,"abstract":"Support vector machine (SVM) was the first proposed kernel-based method. It uses a kernel function to transform data from input space into a high-dimensional feature space in which it searches for a separating hyperplane. SVM aims to maximise the generalisation ability that depends on the empirical risk and the complexity of the machine. SVM has been widely adopted in real-world applications including speech recognition. In this paper, an empirical comparison of kernel selection for SVM were used and discussed to achieve performance on text-independent speaker identification using the TIMIT corpus. We were focused on SVM trained using linear, polynomial and radial basis function (RBF) kernels. Results showed that the best performance had been achieved by using polynomial kernel and reported a speaker identification rate equal to 82.47%.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117186848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model 基于PM-CLAHE模型的MRI去噪与对比度增强同步算法
J. Digit. Content Technol. its Appl. Pub Date : 2010-09-30 DOI: 10.4156/JDCTA.VOL4.ISSUE6.17
D. Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Dazhe Zhao, Ge Yu
{"title":"A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model","authors":"D. Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Dazhe Zhao, Ge Yu","doi":"10.4156/JDCTA.VOL4.ISSUE6.17","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE6.17","url":null,"abstract":"On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contrast in the MR images. These shortcomings would affect the efficiency of feature extraction or recognition later. To solve this problem, the paper proposes a synchronization algorithm of denoising and contrast enhancement. By constructing a differential equation of limited adaptive histogram equalization, the edge denoising and enhancement are completed with the improved PM model. The algorithm draws on the advantages of the two original models, and the practicality and accuracy are proved by the results of the experiments.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130259607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport 图形自动机在植物生长模拟中的应用
J. Digit. Content Technol. its Appl. Pub Date : 2010-09-30 DOI: 10.4156/JDCTA.VOL4.ISSUE6.2
Lingqiu Zeng, Hongchun Qu, Qingsheng Zhu, Youlan Wang
{"title":"Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport","authors":"Lingqiu Zeng, Hongchun Qu, Qingsheng Zhu, Youlan Wang","doi":"10.4156/JDCTA.VOL4.ISSUE6.2","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE6.2","url":null,"abstract":"In this paper we model the growth of living plants in a discrete approach, the graph automata based plant model representing each metamer of the plant as node of the automata. The allocation and transport of carbon, water and nitrogen among metamers, as an emergent property, resulted from the strategy of local pressure equilibrium between adjacent neighbors using discrete pressure-flow kinetics which were found to be suitable to describe mass flow in discrete space. Simulation results show that the graph automata based parallel approach can deal with carbon transport and allocation effectively.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Parallel Backprojection Algorithm for Spiral Cone-Beam CT Exact Reconstruction 螺旋锥束CT精确重建的平行反投影算法
J. Digit. Content Technol. its Appl. Pub Date : 2010-09-30 DOI: 10.4156/JDCTA.VOL4.ISSUE6.16
Guowei Xue, Yan Zhang
{"title":"A Parallel Backprojection Algorithm for Spiral Cone-Beam CT Exact Reconstruction","authors":"Guowei Xue, Yan Zhang","doi":"10.4156/JDCTA.VOL4.ISSUE6.16","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE6.16","url":null,"abstract":"On reconstructing a volume, the exact reconstruction algorithm for spiral cone-beam CT accesses the memory many times while all the filtered projection data has to be arrived. This is quite a bottleneck for implementation. Normally, the filtered projection data is transferred frame by frame in serial. In this paper, a new backprojection algorithm is proposed. The algorithm uses data inside the Tam-Danielsson window and slightly more. When one filtered projection pixel data arrives, certain interpolation algorithm is used on the data and the dedicated volume is decided by the coordinate of the pixel data. Then the dedicated volume is updated by the interpolated data. The procedure repeats when the next filtered backprojection arrives. If the transfer rate is slow enough, then the real-time backprojection can be achieved. Experiment results are given. It can been seen that the image quality is satisfactory and the artifact is greatly refined.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126674333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Research on SVDD Applied in Speaker Verification SVDD在说话人验证中的应用研究
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.10
Yuhuan Zhou, Xiongwei Zhang, Jinming Wang, Yong Gong
{"title":"Research on SVDD Applied in Speaker Verification","authors":"Yuhuan Zhou, Xiongwei Zhang, Jinming Wang, Yong Gong","doi":"10.4156/JDCTA.VOL4.ISSUE5.10","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.10","url":null,"abstract":"In tradition probability statistics model, speaker verification threshold is instability in different test situations. A novel speaker verification method based on Support Vector Data Description (SVDD) is proposed to remedy the defect of probability statistics model. To simplify the threshold value setting and improve the robustness and recognition accuracy of the verification system, traditional hard decision of SVDD is replaced by a new soft decision based on the sample acceptance rate to normalize the confidence scores to the value [0,1]. In experiment, speaker verification system based on SVDD and Gaussian Mixture Model(GMM) are compared using different length of training speech; then the system performance based on SVDD is test introducing outlier samples in training process. Experiments show that SVDD can outperform GMM, and when the target samples are not sufficient, introducing outlier samples in SVDD training process can further improve system performance.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123483862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research and Progress of Cluster Algorithms based on Granular Computing 基于颗粒计算的聚类算法研究与进展
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.11
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
{"title":"Research and Progress of Cluster Algorithms based on Granular Computing","authors":"Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang","doi":"10.4156/JDCTA.VOL4.ISSUE5.11","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.11","url":null,"abstract":"Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval computing etc, is a way of dealing with incomplete, unreliable, uncertain fuzzy knowledge. In recent years, it is becoming one of the main study streams in Artificial Intelligence (AI). With selecting the size structure flexibly, eliminating the incompatibility between clustering results and priori knowledge, completing the clustering task effectively, cluster analysis based on GrC attracts great interest from domestic and foreign scholars. In this paper, starting from the development of GrC, firstly, the main newly achievements about clustering and GrC are researched and summarized. Secondly, principle of granularity in clustering, the effective clustering algorithms with the idea of granularity as well as their merits and faults are analyzed and evaluated from the point view of rough set, fuzzy sets and quotient space theories. Finally, the feasibility and effectiveness of handling high-dimensional complex massive data with combination of these theories is outlooked.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126620462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 32
A Context-Aware Framework using Ontology for Smart Phone Platform 基于本体的智能手机平台上下文感知框架
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.19
Yun Her, Su-kyoung Kim, YoungTaek Jin
{"title":"A Context-Aware Framework using Ontology for Smart Phone Platform","authors":"Yun Her, Su-kyoung Kim, YoungTaek Jin","doi":"10.4156/JDCTA.VOL4.ISSUE5.19","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.19","url":null,"abstract":"Context-awareness has been considered as promising topic in pervasive computing area, but a review of the existing approaches shown that developing diverse application services in this area is still motivated based on the analysis of existing approaches in literature. This paper proposed a context-aware system, which can provide more specific information and services about the situation where you may arrange a business meeting as a case study. In developing a context awareness application, we adopted an approach that selects and combines the strengths of the reviewed methodologies. As an infrastructure for supporting this development, a framework architecture prototype was constructed. Especially, we focused on ontologies which make it possible to reason semantic notion.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125746912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Watching, Thinking, Reacting: A Human-Centered Framework for Movie Content Analysis 观看、思考、反应:以人为中心的电影内容分析框架
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.3
Anan Liu, Zhaoxuan Yang
{"title":"Watching, Thinking, Reacting: A Human-Centered Framework for Movie Content Analysis","authors":"Anan Liu, Zhaoxuan Yang","doi":"10.4156/JDCTA.VOL4.ISSUE5.3","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.3","url":null,"abstract":"In this paper, we propose a human-centered framework, “Watching, Thinking, Reacting”, for movie content analysis. The framework consists of a hierarchy of three levels. The low level represents human perception to external stimuli, where the Weber-Fechner Law-based human attention model is constructed to extract movie highlights. The middle level simulates human cognition to semantic, where semantic descriptors are modeled for automatic semantic annotation. The high level imitates human actions based on perception and cognition, where an integrated graph with content and contextual information is proposed for movie highlights correlation and recommendation. Moreover, three recommendation strategies are presented. The promising results of subjective and objective evaluation indicate that the proposed framework can make not only computers intelligently understand movie content, but also provide personalized service for movie highlights recommendation to effectively lead audiences to preview new movies in an individualized manner.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Introducing New Services in Cloud Computing Environment 介绍云计算环境下的新服务
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.17
A. Kundu, Chandan Banerjee, Priya Saha
{"title":"Introducing New Services in Cloud Computing Environment","authors":"A. Kundu, Chandan Banerjee, Priya Saha","doi":"10.4156/JDCTA.VOL4.ISSUE5.17","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.17","url":null,"abstract":"In this paper, we are going to introduce new services in Cloud Computing environment. Three Cloud Computing services are already classified by the researchers such as Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Each of defined services serves distinct purpose. Here, we propose some more fundamental services which are still undefined to the researchers in most of the cases. Each type of utility service is shown with an example which is interrelated with the engineering college scenario. An engineering college hierarchical framework is used as a case study where in each cloud is defined as a private or public or hybrid cloud. This hierarchical design is based on the typical resource environment found in many academic institutions.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121488229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 63
Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature 基于曲率和分形特征的台风眼云图分割
J. Digit. Content Technol. its Appl. Pub Date : 2010-08-31 DOI: 10.4156/JDCTA.VOL4.ISSUE5.7
Changjiang Zhang, Xiang Zhang, Bo Yang, Y. Li
{"title":"Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature","authors":"Changjiang Zhang, Xiang Zhang, Bo Yang, Y. Li","doi":"10.4156/JDCTA.VOL4.ISSUE5.7","DOIUrl":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE5.7","url":null,"abstract":"An efficient method to segment eyed typhoon from a satellite cloud image is proposed. First, original satellite cloud image is enhanced by gray transform. Second, in order to reduce the computation burden to segment the whole satellite cloud image, single threshold segmentation based on Bezier histogram is implemented to the original satellite cloud image. Some small unrelated cloud masses are discarded. Third, a second segmentation based on Bezier histogram is carried out to the first-segmented typhoon cloud image in order to completely separate true typhoon region into other non-typhoon regions. Box dimensions of all the regions in the second-segmented cloud image are computed. The region whose box dimension firstly arrives to the valley in the box dimension curve, which is drawn by all the box dimensions of second-segmented cloud image, is identified as true typhoon region. Forth, the second-segmented typhoon cloud image is expanded in order not to lose some important details. The second-segmented threshold is combined with Bezier histogram of expanded cloud image to determine the optimal third-segmented threshold. The third segmented cloud image should include most of important information of typhoon. Fifth, discrete stationary transform is implemented to curvature curve of Bezier histogram of the third-segmented cloud image. Multithreshold segmentation is implemented to the third segmented cloud image in stationary wavelet domain. Final segmented typhoon cloud image is obtained by selecting an optimal segmentation scale in stationary wavelet domain. Experimental results show that the proposed method can efficiently segment the typhoon cloud series from the satellite cloud image. The new method is better than Olivo method and H.Q. method.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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