Journal of Information Hiding and Multimedia Signal Processing最新文献_第9页

An Intonation Speech Synthesis Model for Indonesian Using Pitch Pattern and Phrase Identification 基于音高模式和短语识别的印尼语语调语音合成模型

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-07-30 DOI: 10.4236/JSIP.2014.53010

Y. Suyanto, Subanar nbsp, A. Harjoko, S. Hartati

{"title":"An Intonation Speech Synthesis Model for Indonesian Using Pitch Pattern and Phrase Identification","authors":"Y. Suyanto, Subanar nbsp, A. Harjoko, S. Hartati","doi":"10.4236/JSIP.2014.53010","DOIUrl":"https://doi.org/10.4236/JSIP.2014.53010","url":null,"abstract":"Prosody in speech \u0000synthesis systems (text-to-speech) is a determinant of tone, duration, and \u0000loudness of speech sound. Intonation is a part of prosody which determines the \u0000speech tone. In Indonesian, intonation is determined by the structure of \u0000sentences, types of sentences, and also the position of the word in a sentence. \u0000In this study, a model of speech synthesis that focuses on its intonation is \u0000proposed. The speech intonation is determined by sentence structure, intonation \u0000patterns of the example sentences, and general rules of Indonesian \u0000pronunciation. The model receives texts and intonation patterns as inputs. \u0000Based on the general principle of Indonesian pronunciation, a prosody file was \u0000made. Based on input text, sentence structure is determined and then interval \u0000among parts of a sentence (phrase) can be determined. These intervals are used \u0000to correct the duration of the initial prosody file. Furthermore, the \u0000frequencies in prosody file were corrected using intonation patterns. The final \u0000result is prosody file that can be pronounced by speech engine application. \u0000Experiment results of studies using the original voice of radio news announcer \u0000and the speech synthesis show that the peaks of F0 are determined by general rules or \u0000intonation patterns which are dominant. Similarity test with the PESQ method \u0000shows that the result of the synthesis is 1.18 at MOS-LQO scale.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"22 1","pages":"80-88"},"PeriodicalIF":0.0,"publicationDate":"2014-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80407482","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

Mobile Data Mining-Based Services on the Base of Mobile Device Management (MDM) System 基于移动设备管理(MDM)系统的移动数据挖掘服务

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-07-30 DOI: 10.4236/JSIP.2014.53011

M. O. Khairo

引用次数: 0

Survey of Surface Reconstruction Algorithms 表面重构算法综述

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-07-30 DOI: 10.4236/JSIP.2014.53009

A. Alqudah

{"title":"Survey of Surface Reconstruction Algorithms","authors":"A. Alqudah","doi":"10.4236/JSIP.2014.53009","DOIUrl":"https://doi.org/10.4236/JSIP.2014.53009","url":null,"abstract":"Surface reconstruction is \u0000a problem in the field of computational geometry that is concerned with \u0000recreating a surface from scattered data points sampled from an unknown \u0000surface. To date, the primary application of surface reconstruction algorithms \u0000has been in computer graphics, where physical models are digitized in three \u0000dimensions with laser range scanners or mechanical digitizing probes \u0000(Bernardini et al., 1999 [1]). Surface reconstruction algorithms \u0000are used to convert the set of digitized points into a wire frame mesh model, \u0000which can be colored, textured, shaded, and placed into a 3D scene (in a movie \u0000or television commercial, for example). In this paper, we discuss some \u0000computational geometry preliminaries, and then move on to a summary of some different \u0000techniques used to address the surface reconstruction problem. The coming \u0000sections describe two algorithms: that of Hoppe, et al. (1992 [2]) and Amenta, et al. (1998 [3]). Finally, we present other \u0000applications of surface reconstruction and a brief comparison for some \u0000algorithms in this filed emphasizing on their advantages and disadvantages.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"2014 1","pages":"63-79"},"PeriodicalIF":0.0,"publicationDate":"2014-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88004157","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: 2

Template Matching from 2-D into 1-D 从二维到一维的模板匹配

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-05-02 DOI: 10.4236/JSIP.2014.52005

Y. Fouda

引用次数: 0

Quantum Inspired Shape Representation for Content Based Image Retrieval 基于内容的图像检索的量子启发形状表示

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-05-02 DOI: 10.4236/JSIP.2014.52008

Rahmeh Jobay, A. Sleit

引用次数: 7

Object Tracking Using a New Level Set Model 使用新的水平集模型的对象跟踪

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-02-10 DOI: 10.4236/JSIP.2014.51004

N. Al-Ashwal, A. F. Al-Junaid

{"title":"Object Tracking Using a New Level Set Model","authors":"N. Al-Ashwal, A. F. Al-Junaid","doi":"10.4236/JSIP.2014.51004","DOIUrl":"https://doi.org/10.4236/JSIP.2014.51004","url":null,"abstract":"This paper proposes a novel \u0000implementation of the level set method that achieves real-time level-set-based \u0000object tracking. In the proposed algorithm, the evolution of the curve is \u0000realized by simple operations such as switching values of the level set \u0000functions and there is no need to solve any partial differential equations \u0000(PDEs). The object contour could change due to the change in the location, \u0000orientation or due to the changeable nature of the object shape itself. Knowing \u0000the contour, the average color value for the pixels within the contour could be \u0000found. The estimated object color and contour in one frame are the bases for \u0000locating the object in the consecutive one. The color is used to segment the \u0000object pixels and the estimated contour is used to initialize the deformation \u0000process. Thus, the algorithm works in a closed cycle in which the color is used \u0000to segment the object pixels to get the object contour and the contour is used \u0000to get the typical-color of the object. With our fast algorithm, a real-time \u0000system has been implemented on a standard PC. Results from standard test \u0000sequences and our real time system are presented.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"2 1","pages":"17-22"},"PeriodicalIF":0.0,"publicationDate":"2014-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74431491","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: 0

Rotation Invariant Texture Classification Using Principal Direction Estimation and Random Projection 基于主方向估计和随机投影的旋转不变纹理分类

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2014-01-01 DOI: 10.1007/978-3-319-12286-1_25

Yulong Qiao, Ying Zhao

引用次数: 6

Centerline Extraction for Image Segmentation Using Gradient and Direction Vector Flow Active Contours 基于梯度和方向矢量流活动轮廓的图像分割中心线提取

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2013-10-09 DOI: 10.4236/JSIP.2013.44052

Shuqun Zhang, Jianyang Zhou

引用次数: 8

Multi-Level Halftoning by IGS Quantization IGS量化的多级半调

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2013-10-09 DOI: 10.4236/JSIP.2013.44044

T. Kimoto

{"title":"Multi-Level Halftoning by IGS Quantization","authors":"T. Kimoto","doi":"10.4236/JSIP.2013.44044","DOIUrl":"https://doi.org/10.4236/JSIP.2013.44044","url":null,"abstract":"Improved gray-scale (IGS) quantization is a known method for re-quantizing digital gray-scale images for data compression while producing halftones by adding a level of randomness to improve visual quality of the resultant images. In this paper, first, analyzing the IGS quantizing operations reveals the capability of conserving a DC signal level of a source image through the quantization. Then, a complete procedure for producing a multi-level halftone image by IGS quantization that can achieve the DC conservation is presented. Also, the procedure uses the scanning of source pixels in an order such that geometric patterns can be prevented from occurring in the resulting halftone image. Next, the performance of the multi-level IGS halftoning is evaluated by experiments conducted on 8-bit gray-scale test images in comparison with the halftoning by error diffusion. The experimental result demonstrates that a signal level to be quantized in the IGS halftoning varies more randomly than that in the error diffusion halftoning, but not entirely randomly. Also, visual quality of the resulting halftone images was measured by subjective evaluations of viewers. The result indicates that for 3 or more-bit, in other words, 8 or more-level halftones, the IGS halftoning achieves image quality comparable to that by the error diffusion.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"160 1","pages":"351-358"},"PeriodicalIF":0.0,"publicationDate":"2013-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76257542","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: 2

Preprocessing of Separating Leukocytes Based on Setting Parameters of Lightness Transformation 基于亮度变换参数设置的白细胞分离预处理

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2013-10-09 DOI: 10.4236/JSIP.2013.44051

Jianyong Cai, Lili Luo, Rong-lan Cai, Lijin Lin, Juan Cai

引用次数: 1