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  CoVox: A dataset of contrasting vocalizations

Bruder, C., & Larrouy-Maestri, P. (2025). CoVox: A dataset of contrasting vocalizations. Behavior Research Methods, 57: 142. doi:10.3758/s13428-025-02664-9.

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mus-25-bru-01-covox.pdf (Publisher version), 3MB
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mus-25-bru-01-covox.pdf
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2025
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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 Creators:
Bruder, Camila1, Author                 
Larrouy-Maestri, Pauline1, Author                 
Affiliations:
1Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421696              

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Free keywords: Voice Singing, Speech, Corpus, Acoustics
 Abstract: The human voice is remarkably versatile and can vary greatly in sound depending on how it is used. An increasing number of studies have addressed the differences and similarities between the singing and the speaking voice. However, finding adequate stimuli material that is at the same time controlled and ecologically valid is challenging, and most datasets lack variability in terms of vocal styles performed by the same voice. Here, we describe a curated stimulus set of vocalizations where 22 female singers performed the same melody excerpts in three contrasting singing styles (as a lullaby, as a pop song, and as an opera aria) and spoke the text aloud in two speaking styles (as if speaking to an adult or to an infant). All productions were made with the songs’ original lyrics, in Brazilian Portuguese, and with a/lu/sound. This ecologically valid dataset of 1320 vocalizations was validated through a forced-choice lab experiment (N = 25 for each stimulus) where lay listeners could recognize the intended vocalization style with high accuracy (proportion of correct recognition superior to 69% for all styles). We also provide acoustic characterization of the stimuli, depicting clear and contrasting acoustic profiles depending on the style of vocalization. All recordings are made freely available under a Creative Commons license and can be downloaded at https://osf.io/cgexn/.

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Language(s): enc - En
 Dates: 2025-03-172025-04-11
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3758/s13428-025-02664-9
 Degree: -

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Title: Behavior Research Methods
Source Genre: Journal
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Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 57 Sequence Number: 142 Start / End Page: - Identifier: ISSN: 1554-3528
CoNE: https://pure.mpg.de/cone/journals/resource/1554-3528