Automatic Optical Music Score Recognition
碩士 === 國立師範大學 === 資訊教育研究所 === 86 === This paper addresses the problem of taking printed sheet music and translating it into a MIDI format computer file. The automatic optical music score recognition system provides a more efficient and convenient approach of converting printed sheet musi...
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ndltd-TW-086NTNU03950092016-06-29T04:13:34Z http://ndltd.ncl.edu.tw/handle/16447001900252669149 Automatic Optical Music Score Recognition 應用投影法與樂理辨識印刷鋼琴樂譜 Lu Wen-Tsung 爐文聰 碩士 國立師範大學 資訊教育研究所 86 This paper addresses the problem of taking printed sheet music and translating it into a MIDI format computer file. The automatic optical music score recognition system provides a more efficient and convenient approach of converting printed sheet music into MIDI file. The system recognizes music scores in a two-step process: (1) music symbol detection phase, which obtains a digitized image of the sheet music and recognizes the musical notations in the digitized image; and (2) music symbol emendation phase, which uses musical knowledge to correct the mis-identified musical symbols and then outputs the result to a pre-defined intermediary format file. The output file contains information of music symbols and confidence level values, these information could be displayed through a musical editor system developed for this research.Position and scale of the sheet music on the scanner is not restricted. After analyzing the sheet music, most of the music symbols could be recognized with only single image processing techniques. The experiments show a 91.2% recognition rate is achievable at 100 dpi taking approximately 1 minute per page. At 150 dpi, it is about 92.5% with an average processing time of 2 minute per page. At 300 dpi, the recognition rate is raised to 93.4% with an average processing time of 10 minute per page. Greg Lee 李忠謀 1998 學位論文 ; thesis 0 zh-TW |
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碩士 === 國立師範大學 === 資訊教育研究所 === 86 === This paper addresses the problem of taking printed sheet music and translating it into a MIDI format computer file. The automatic optical music score recognition system provides a more efficient and convenient approach of converting printed sheet music into MIDI file. The system recognizes music scores in a two-step process: (1) music symbol detection phase, which obtains a digitized image of the sheet music and recognizes the musical notations in the digitized image; and (2) music symbol emendation phase, which uses musical knowledge to correct the mis-identified musical symbols and then outputs the result to a pre-defined intermediary format file. The output file contains information of music symbols and confidence level values, these information could be displayed through a musical editor system developed for this research.Position and scale of the sheet music on the scanner is not restricted. After analyzing the sheet music, most of the music symbols could be recognized with only single image processing techniques. The experiments show a 91.2% recognition rate is achievable at 100 dpi taking approximately 1 minute per page. At 150 dpi, it is about 92.5% with an average processing time of 2 minute per page. At 300 dpi, the recognition rate is raised to 93.4% with an average processing time of 10 minute per page.
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Greg Lee |
author_facet |
Greg Lee Lu Wen-Tsung 爐文聰 |
author |
Lu Wen-Tsung 爐文聰 |
spellingShingle |
Lu Wen-Tsung 爐文聰 Automatic Optical Music Score Recognition |
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Lu Wen-Tsung |
title |
Automatic Optical Music Score Recognition |
title_short |
Automatic Optical Music Score Recognition |
title_full |
Automatic Optical Music Score Recognition |
title_fullStr |
Automatic Optical Music Score Recognition |
title_full_unstemmed |
Automatic Optical Music Score Recognition |
title_sort |
automatic optical music score recognition |
publishDate |
1998 |
url |
http://ndltd.ncl.edu.tw/handle/16447001900252669149 |
work_keys_str_mv |
AT luwentsung automaticopticalmusicscorerecognition AT lúwéncōng automaticopticalmusicscorerecognition AT luwentsung yīngyòngtóuyǐngfǎyǔlèlǐbiànshíyìnshuāgāngqínlèpǔ AT lúwéncōng yīngyòngtóuyǐngfǎyǔlèlǐbiànshíyìnshuāgāngqínlèpǔ |
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