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    • 3. 发明授权
    • Method and apparatus for recognising music symbols
    • 用于识别音乐符号的方法和装置
    • US09424823B2
    • 2016-08-23
    • US14176800
    • 2014-02-10
    • MYSCRIPT
    • Fabio ValentePierre-Michel Lallican
    • G06K9/00G10G1/04G06K9/34G06K9/68
    • G10G1/00G06F3/03545G06F3/041G06K9/00G06K9/00416G06K9/00422G06K9/342G06K9/6256G06K9/6878G06K9/6885G10G1/04G10H2220/096
    • Disclosed are music symbol recognition apparatuses and methods that recognize music symbols from handwritten music notations. Various implementations may process handwritten music notations by segmenting the handwritten music notations into a plurality of elementary ink segments and then grouping the segments into graphical objects based on spatial relationships between the segments. One or more candidate music symbols may be determined for each graphical object, along with a symbol cost for each symbol, which represents a likelihood that the graphical object belongs to a predetermined class of symbols. The music symbol candidates may be parsed to form graphs based on grammar rules, and the graph most likely to represent the handwritten music notations may be selected for display or other use. The selection may be based on the symbol costs associated with each candidate and on spatial costs associated with the grammar rules that are applied to the candidates.
    • 公开了从手写音乐符号识别音乐符号的音乐符号识别装置和方法。 各种实现可以通过将手写音乐符号分割成多个基本墨段来处理手写音乐符号,然后基于片段之间的空间关系将片段分组成图形对象。 可以为每个图形对象确定一个或多个候选音乐符号,以及每个符号的符号成本,其表示图形对象属于预定类别的符号的可能性。 可以根据语法规则解析音乐符号候选者以形成图形,并且可能选择最有可能表示手写音乐符号的图形用于显示或其他用途。 选择可以基于与每个候选者相关联的符号成本以及与应用于候选者的语法规则相关联的空间成本。