D Amario, S, Daffern, H and Bailes, F orcid.org/0000-0003-2723-3579 (2019) A new method of onset and offset detection in ensemble singing. Logopedics Phoniatrics Vocology, 44 (4). pp. 143-158. ISSN 1401-5439
Abstract
This paper presents a novel method combining electrolaryngography and acoustic analysis to detect the onset and offset of phonation as well as the beginning and ending of notes within a sung legato phrase, through the application of a peak-picking algorithm, TIMEX. The evaluation of the method applied to a set of singing duo recordings shows an overall performance of 78% within a tolerance window of 50 ms compared with manual annotations performed by three experts. Results seem very promising in light of the state-of-the-art techniques presented at MIREX in 2016 yielding an overall performance of around 60%. The new method was applied to a pilot study with two duets to analyse synchronization between singers during ensemble performances. Results from this investigation demonstrate bidirectional temporal adaptations between performers, and suggest that the precision and consistency of synchronization, and the tendency to precede or lag a co-performer might be affected by visual contact between singers and leader–follower relationships. The outcomes of this paper promise to be beneficial for future investigations of synchronization in singing ensembles.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Interpersonal interaction, offset detection, onset detection, singing ensemble, synchronization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Music (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Apr 2018 08:42 |
Last Modified: | 25 Jun 2023 21:18 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/14015439.2018.1452977 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129663 |