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DaCaRyH (Data science for the study of calypso-rhythm through history)

DaCaRyH（通过历史研究卡利普索节奏的数据科学）

基本信息

批准号：
AH/N504531/1
负责人：
Bob Sturm
金额：
$ 10.19万
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：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=AH%2FN504531%2F1
关键词：
DaCaRyH Data science study calypso

项目摘要

DaCaRyH (Data science for the study of calypso-rhythm through history) is a collaboration of ethnomusicologists and archivists in France, and data scientists and composers in the UK. DaCaRyH has 3 objectives: 1) to enrich the domain of ethnomusicology by integrating data science and music information retrieval (MIR) methods into ethnomusicological archives and research practices; 2) to enrich the domains of data science and MIR by integrating ethnomusicological use cases into the practice of the research and development of intelligent systems; 3) to study the concept of musical style through a comparative diachronic analysis of a music corpus, and to transform the features extracted from the same corpus into new styles. DaCaRyH is aligned primarily with "'The Digital Age' and its effects on tangible and intangible heritage", and secondarily with "representations and uses of the past." DaCaRyH will work specifically with the music tradition of the steel band calypso. This provides focus on a variety of real and challenging ethnomusicological questions, which in turn drive the development of data science and MIR technologies. DaCaRyH helps pave the way to "big cultural data," or the analysis of human culture at scales not possible without computational methods. DaCaRyH involves the Research Center for Ethnomusicology (CREM-LESC, France), and the Centre for Digital Music (C4DM, Queen Mary University of London, UK). CREM-LESC offers access to a large ethnomusicologic recordings database accessible worldwide through an online platform. C4DM is a world-leading group of specialists in data science applied to music. DaCaRyH will result in: two journal submissions (one in the respective fields of the PIs), a call for a special journal issue concerning cultural studies and data science, a music composition and performance project involving the use of the tools developed in DaCaRyH, and improved functionality integrated with the CREM-LESC ethnomusicological recordings archive.

DaCaRyH（通过历史研究卡里普索节奏的数据科学）是法国民族音乐学家和档案学家以及英国数据科学家和作曲家的合作。DaCaRyH有三个目标：1）通过将数据科学和音乐信息检索（MIR）方法融入民族音乐学档案和研究实践，丰富民族音乐学领域：2）通过将民族音乐学用例融入智能系统的研究和开发实践，丰富数据科学和MIR领域; 3）通过对音乐语料库的历时比较分析，研究音乐风格的概念，并将从同一语料库中提取的特征转化为新的风格。DaCaRyH主要与“数字时代”及其对物质和非物质遗产的影响”保持一致，其次是“过去的表现和使用”。“DaCaRyH将专门与钢乐队卡里普索的音乐传统。这提供了对各种真实的和具有挑战性的民族音乐学问题的关注，这反过来又推动了数据科学和MIR技术的发展。DaCaRyH有助于为“大文化数据”铺平道路，或者在没有计算方法的情况下不可能对人类文化进行规模分析。DaCaRyH涉及民族音乐学研究中心（法国CREM-LESC）和数字音乐中心（英国伦敦玛丽女王大学C4DM）。CREM-LESC提供了一个大型的民族音乐学记录数据库，可通过在线平台在全球范围内访问。C4DM是一个世界领先的数据科学应用于音乐的专家组。DaCaRyH将导致：两份期刊投稿（一份在PI的相应领域），一份关于文化研究和数据科学的特殊期刊的呼吁，一个涉及使用DaCaRyH开发的工具的音乐创作和表演项目，以及与CREM-LESC民族音乐学录音档案集成的改进功能。