Tablature notation is widely used in popular music to transcribe and share guitar musical content. As a complement to standard score notation, tablatures transcribe performance gesture information including finger positions and a variety of guitar-specific playing techniques such as slides, hammer-on/pull-off or bends.This paper focuses on bends, which enable to progressively shift the pitch of a note, therefore circumventing physical limitations of the discrete fretted fingerboard. In this paper, we propose a set of 25 high-level features, computed for each note of the tablature, to study how bend occurrences can be predicted from their past and future short-term context. Experiments are performed on a corpus of 932 lead guitar tablatures of popular music and show that a decision tree successfully predicts bend occurrences with an F1 score of 0.71 anda limited amount of false positive predictions, demonstrating promising applications to assist the arrangement of non-guitar music into guitar tablatures.

本文研究吉他谱表中弯音的出现预测，通过对弯音的过去和未来短期上下文的分析，提出了一套25个高级特征，并在流行音乐的932个主音吉他谱表上进行了实验，成功地通过决策树预测了弯音的发生，同时有限地减少了误报率，证明了将非吉他音乐排列成吉他谱表的有前景的应用。

流行音乐吉他谱的弯曲建模