Alexandre d'HoogeLaBRI, SCRIME, Louis BigoLaBRI, SCRIME, Ken Déguernel, Nicolas Martin
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引用次数: 0
摘要
吉他手使用和弦图来显示和弦在指板上的弹奏位置和弹奏方法。然而,吉他学习工具上的和弦图通常是从现有数据库中挑选出来的,很少能代表演奏者使用的实际位置。基于对 DadaGP 和 mySongBook 数据集的统计分析,我们发现有些和弦图在西方流行音乐中出现过多,而且有些和弦可以有超过 20 种不同的弹奏方式。我们认为,将上下文考虑在内可以提高和弦图建议的多样性和质量,并将这种方法与只考虑当前和弦标签的模型进行了比较。我们发现,加入先前的上下文可以将这项任务的 F1 分数提高 27%,并降低了模型建议标准开放和弦的倾向。
Guitar Chord Diagram Suggestion for Western Popular Music
Chord diagrams are used by guitar players to show where and how to play a
chord on the fretboard. They are useful to beginners learning chords or for
sharing the hand positions required to play a song.However, the diagrams
presented on guitar learning toolsare usually selected from an existing
databaseand rarely represent the actual positions used by performers.In this
paper, we propose a tool which suggests a chord diagram for achord label,taking
into account the diagram of the previous chord.Based on statistical analysis of
the DadaGP and mySongBook datasets, we show that some chord diagrams are
over-represented in western popular musicand that some chords can be played in
more than 20 different ways.We argue that taking context into account can
improve the variety and the quality of chord diagram suggestion, and compare
this approach with a model taking only the current chord label into account.We
show that adding previous context improves the F1-score on this task by up to
27% and reduces the propensity of the model to suggest standard open chords.We
also define the notion of texture in the context of chord diagrams andshow
through a variety of metrics that our model improves textureconsistencywith the
previous diagram.