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A Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring

机译:基于解析的耦合节奏量化和得分结构的解析框架

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We present a formal language-based framework for MIDI-to-score transcription, the problem of converting a sequence of symbolic musical events with arbitrary timestamps into a structured music score. The framework aims at solving in one pass the two subproblems of rhythm quantization and score production. It relies, throughout the process, on an apriori hierarchical model of scores given by generative grammars. We show that this coupled approach helps to make relevant and interrelated decisions, and we present an algorithm computing transcription solutions optimal with respect to both the fitness of the quantization to the input, and a measure of complexity of music notation.
机译:我们提出了一种正式的基于语言的MIDI-Score转录框架,将符号音乐事件转换为与任意时间戳转换为结构化音乐分数的问题。该框架旨在解决一个通过节奏量化和得分生产的两个子问题。在整个过程中依赖于生成语法给出的APRiori分层模型。我们表明,这种耦合方法有助于进行相关和相互关联的决策,并且我们提出了一种算法计算转录解决方案的算法,相对于量化的适合度,以及音乐符号的复杂性的量度。

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