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.

翻译：指法谱（Tablature）被广泛用于流行音乐中转录和分享吉他音乐内容。作为标准五线谱记谱法的补充，指法谱记录了演奏姿态信息，包括指位及滑音、锤弦/勾弦、弯音等吉他特有的演奏技巧。本文聚焦于弯音，该技巧能逐步改变音符音高，从而规避了品格指板的物理限制。我们提出一组25个高层特征，针对指法谱中每个音符进行计算，用以研究弯音出现与其前后短期语境之间的预测关系。实验基于932首流行音乐主音吉他指法谱语料库进行，结果显示决策树能以0.71的F1分数成功预测弯音出现，且假阳性预测数量有限，展现了将非吉他音乐编配为吉他指法谱的潜在应用价值。