权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Development of the computer environment for the usage of online handwritten symbols

在线手写符号使用计算机环境的开发

基本信息

批准号：
18500081
负责人：
MIYAO Hidetoshi
金额：
$ 1.86万
依托单位：
Shinshu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

项目摘要

In order to develop a system in which online handwritten symbols can be utilized efficiently, I have studied the following two subjects. First I propose a method to improve the personal character classifiers which am learned from examples by using the virtual examples synthesized from on-line characters written by a particular user. To obtain the good classifiers, usually a large database which contains enough number of variations of handwritten characters is required. In this study, I have proposed a method to train SVM for character recognition based on the artificially augmented examples using on-line characters written by a particular user A virtual example is synthesized from an on-line character by applying Sae transformation to each stroke. SVM classifiers am trained by using the artificially generated patterns. The effectiveness of the proposed method was examined by experiments of handwritten Japanese Hiragana character classification Second, to make it easier for a novice composer to produce a piece of music, a method which expands a user-entered music using an existing music database, has been proposed. The outline of the procedure is as follows: 1. in the database, the most similar part is found by comparison between the urer-entered music and all parts of the database based on their pitch sequences, 2 using linear regression model, a transformation matrix between the retrieved music and the user-entered music, is calculated, 3. new music can be produced by applying the transformation with the calculated matrix to the parts before and after the retrieved music, and 4. the produced music am added to the parts before and after the user-entered music. In my experiments, we composed several Owes of music with the use of a database which consists of twelve pieces of music. As a result, it was confirmed that the tool could produce comfortable music.

为了开发一个可以有效利用在线手写符号的系统，我研究了以下两个课题。首先，我提出了一种改进个人字符分类器的方法，该方法通过使用从特定用户编写的在线字符合成的虚拟示例来从示例中学习。为了获得好的分类器，通常需要一个包含足够数量的手写字符变体的大型数据库。在这项研究中，我提出了一种训练 SVM 进行字符识别的方法，该方法基于使用特定用户编写的在线字符的人工增强示例。通过对每个笔画应用 Sae 变换，从在线字符合成虚拟示例。 SVM 分类器是使用人工生成的模式进行训练的。通过手写日语平假名字符分类的实验检验了所提出方法的有效性。其次，为了使新手作曲家更容易创作一首音乐，提出了一种使用现有音乐数据库扩展用户输入的音乐的方法。过程概要如下：1.在数据库中，根据音调序列比较用户输入的音乐与数据库中的所有部分，找到最相似的部分；2.使用线性回归模型，计算检索到的音乐和用户输入的音乐之间的变换矩阵；3.将计算出的矩阵变换到检索到的音乐之前和之后的部分，可以产生新的音乐；4. 制作的音乐被添加到用户输入的音乐之前和之后的部分。在我的实验中，我们使用包含十二首音乐的数据库创作了几首音乐。结果证实该工具可以产生舒适的音乐。