Dig that lick: Analysing large-scale data for melodic patterns in jazz performances

挖掘这一点：分析爵士乐表演中旋律模式的大规模数据

• 批准号: ES/R004005/1
• 负责人: Simon Dixon
• 金额: $ 20.4万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FR004005%2F1
• 关键词: Dig; lick; Analysing; large; scale

The recorded legacy of jazz spans a century and provides a vast corpus of data documentingits development. Recent advances in digital signal processing and data analysis technologiesenable automatic recognition of musical structures and their linkage through metadata tohistorical and social context. Automatic metadata extraction and aggregation give unprecedentedaccess to large collections, fostering new interdisciplinary research opportunities.This project aims to develop innovative technological and music-analytical methods to gainfresh insight into jazz history by bringing together renowned scholars and results from severalhigh-profile projects. Musicologists and computer scientists will together create a deeper andmore comprehensive understanding of jazz in its social and cultural context. We exemplify ourmethods via a full cycle of analysis of melodic patterns, or "licks", from audio recordings to anaesthetically contextualised and historically situated understanding.

爵士乐的记录遗产跨越了一个世纪，并提供了大量的数据记录开发。数字信号处理和数据分析技术的最新进展可自动识别音乐结构及其通过元数据的链接及其链接。自动元数据提取和聚集为大型收藏提供了前所未有的探讨，从而促进了新的跨学科研究机会。该项目旨在开发创新的技术和音乐分析方法，从而通过将著名的学者和成果从多个高级项目中融合在一起，从而洞悉爵士历史。音乐学家和计算机科学家将共同在社会和文化背景下对爵士乐建立更深入的更全面的理解。我们通过对旋律模式的完整分析或“舔”的完整循环来体现我们的方法，从音频录制到麻醉的上下文化且具有历史性的理解。

项目成果

Dig That Lick: Exploring Melodic Patterns in Jazz Improvisation

挖掘那舔：探索爵士乐即兴创作中的旋律模式

• 发表时间: 2019
• 作者: F. Höger

Don’t hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms

不要隐藏在框架中：基于音符和模式的自动旋律提取算法评估

• DOI: 10.1145/3358664.3358672
• 发表时间: 2019
• 期刊: Proceedings of the 6th International Conference on Digital Libraries for Musicology
• 作者: K. Frieler;D. Başaran;F. Höger;H.-C. Crayencour;G. Peeters
• 通讯作者: G. Peeters

Chasing the Trane: Quantifying the Social Journey of a Coltrane Solo

追逐特灵：量化 Coltrane Solo 的社交旅程

• 发表时间: 2019
• 作者: G. Solis

Miles Vs. Trane: Computational and Statistical Comparison of the Improvisatory Styles of Miles Davis and John Coltrane

迈尔斯VS。

• 发表时间: 2020
• 期刊: Jazz Perspectives
• 作者: Frieler K.

Digging into pattern usage within jazz improvisation: Pattern History Explorer, Pattern Search and Similarity Search

深入探讨爵士乐即兴创作中的模式用法：模式历史浏览器、模式搜索和相似性搜索

• 发表时间: 2019
• 作者: F. Höger