The major differences between the staff notation and the numbered musical notation are the types of musical glyphs, for example the representative staves and digits, respectively. The ecosystem is comprised of dataset, evaluation metrics, groundtruth, OMR processing engines. The authors develop the processing engines and build the whole ecosystem of Optical Music Recognition (OMR) and perform experiments. The research focuses on the sheet music written in the notation. For example, the numbered music notation (Huang, 2008), named as ‘jiănpῠ’ in pinyin for Mandarin, is well accepted in Asian. Nonetheless the notation is the most popular notation worldwide, other musical notations exist and are used in daily life. Music notation is the most important media for encoding music to play and read, therefore many classical master pieces encoded in the staff notation, conventional western music notation (CWMN) (Rastall, 1983), are alive for hundreds of years.
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