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Reconstructing William Byrd’s consort songs from the Paston lutebooks : a historically informed and computational approach to comparative analysis and musical idiom.

Sequera, Hector (2019) 'Reconstructing William Byrd’s consort songs from the Paston lutebooks : a historically informed and computational approach to comparative analysis and musical idiom.', Early music., 47 (4). pp. 455-477.

Abstract

This article outlines how computational analysis can be applied to the process of making and evaluating idiomatic reconstructions of polyphonic music from lute intabulations. It focuses on some of William Byrd’s consort songs that survive only as intabulations in one of the lute books owned by Edward Paston (1550–1630), London, British Library, Add. Ms. 31992. Fourteen of the consort songs survive as intabulations and full settings, and form the corpus used in this study; 15 survive only as intabulations needing reconstruction to return them to a performable state. After discussing the context of the pieces, the article presents three analyses: (1) to establish the differences between the tablatures and the full settings, (2) to study more closely these differences in order to inform reconstruction work, and (3) to evaluate three separate reconstructions of Byrd’s ‘In tower most high’ using the corpus and the data collected.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/em/caz069
Publisher statement:This is a pre-copyedited, author-produced PDF of an article accepted for publication in Early music following peer review. The version of record Sequera, Hector (2019). Article Navigation Reconstructing William Byrd’s consort songs from the Paston lutebooks: a historically informed and computational approach to comparative analysis and musical idiom. Early Music 47(4): 455-477 is available online at: https://doi.org/10.1093/em/caz069
Date accepted:17 March 2019
Date deposited:26 March 2019
Date of first online publication:18 November 2019
Date first made open access:18 November 2021

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