Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 龔信嘉 | en_US |
dc.contributor.author | Sin-Jia Gong | en_US |
dc.contributor.author | 陳玲慧 | en_US |
dc.contributor.author | Ling-Hwei Chen | en_US |
dc.date.accessioned | 2014-12-12T01:19:45Z | - |
dc.date.available | 2014-12-12T01:19:45Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT009557511 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/39662 | - |
dc.description.abstract | 本篇論文中我們提出了一個線上的樂譜手寫辨識系統。樂譜是用來記錄樂曲的工具,作曲家常用其於創作與交流音樂。論文中,我們使用與在紙上相同的書寫方法,利用多筆劃組合出音樂符號。而筆劃的特徵有三種,高度,組成之基本圖形以及方向,可用來辨識出此筆劃所屬類型,再將其組合成所需要的音樂符號。本系統支援基本創作需要之全部音樂符號,辨識率為98.35%,並且提供方便及完善的樂譜修改功能。 | zh_TW |
dc.description.abstract | In this thesis, we present an online handwritten system for music score recognition. Music score is used to record a music song. People often used to compose a music score on the sheet of paper. In our system, we propose the pen based writing method and use multi-strokes to form a music notation. We extract the height, shape and direction from a stroke as the features and recognize it as a symbol. Then the symbol is combined with other symbols to form a music notation. The system is robust for a general use and supports enough music notations for composition. The recognition rate is 98.35%. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 手寫 | zh_TW |
dc.subject | 音樂符號 | zh_TW |
dc.subject | 線上 | zh_TW |
dc.subject | 筆劃 | zh_TW |
dc.subject | handwritten | en_US |
dc.subject | music score | en_US |
dc.subject | music notation | en_US |
dc.subject | online | en_US |
dc.subject | stroke | en_US |
dc.title | 線上樂譜手寫辨識系統 | zh_TW |
dc.title | An Online Handwritten Recognition System of Music Score | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 多媒體工程研究所 | zh_TW |
Appears in Collections: | Thesis |
Files in This Item:
If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.