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ReCANVo: A database of real-world communicative and affective nonverbal vocalizations
Nonverbal vocalizations, such as sighs, grunts, and yells, are informative expressions within typical verbal speech. Likewise, individuals who produce 0–10 spoken words or word approximations (“minimally speaking” individuals) convey rich affective and communicative information through nonverbal voc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404278/ https://www.ncbi.nlm.nih.gov/pubmed/37543663 http://dx.doi.org/10.1038/s41597-023-02405-7 |
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author | Johnson, Kristina T. Narain, Jaya Quatieri, Thomas Maes, Pattie Picard, Rosalind W. |
author_facet | Johnson, Kristina T. Narain, Jaya Quatieri, Thomas Maes, Pattie Picard, Rosalind W. |
author_sort | Johnson, Kristina T. |
collection | PubMed |
description | Nonverbal vocalizations, such as sighs, grunts, and yells, are informative expressions within typical verbal speech. Likewise, individuals who produce 0–10 spoken words or word approximations (“minimally speaking” individuals) convey rich affective and communicative information through nonverbal vocalizations even without verbal speech. Yet, despite their rich content, little to no data exists on the vocal expressions of this population. Here, we present ReCANVo: Real-World Communicative and Affective Nonverbal Vocalizations - a novel dataset of non-speech vocalizations labeled by function from minimally speaking individuals. The ReCANVo database contains over 7000 vocalizations spanning communicative and affective functions from eight minimally speaking individuals, along with communication profiles for each participant. Vocalizations were recorded in real-world settings and labeled in real-time by a close family member who knew the communicator well and had access to contextual information while labeling. ReCANVo is a novel database of nonverbal vocalizations from minimally speaking individuals, the largest available dataset of nonverbal vocalizations, and one of the only affective speech datasets collected amidst daily life across contexts. |
format | Online Article Text |
id | pubmed-10404278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104042782023-08-07 ReCANVo: A database of real-world communicative and affective nonverbal vocalizations Johnson, Kristina T. Narain, Jaya Quatieri, Thomas Maes, Pattie Picard, Rosalind W. Sci Data Data Descriptor Nonverbal vocalizations, such as sighs, grunts, and yells, are informative expressions within typical verbal speech. Likewise, individuals who produce 0–10 spoken words or word approximations (“minimally speaking” individuals) convey rich affective and communicative information through nonverbal vocalizations even without verbal speech. Yet, despite their rich content, little to no data exists on the vocal expressions of this population. Here, we present ReCANVo: Real-World Communicative and Affective Nonverbal Vocalizations - a novel dataset of non-speech vocalizations labeled by function from minimally speaking individuals. The ReCANVo database contains over 7000 vocalizations spanning communicative and affective functions from eight minimally speaking individuals, along with communication profiles for each participant. Vocalizations were recorded in real-world settings and labeled in real-time by a close family member who knew the communicator well and had access to contextual information while labeling. ReCANVo is a novel database of nonverbal vocalizations from minimally speaking individuals, the largest available dataset of nonverbal vocalizations, and one of the only affective speech datasets collected amidst daily life across contexts. Nature Publishing Group UK 2023-08-05 /pmc/articles/PMC10404278/ /pubmed/37543663 http://dx.doi.org/10.1038/s41597-023-02405-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Johnson, Kristina T. Narain, Jaya Quatieri, Thomas Maes, Pattie Picard, Rosalind W. ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title | ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title_full | ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title_fullStr | ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title_full_unstemmed | ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title_short | ReCANVo: A database of real-world communicative and affective nonverbal vocalizations |
title_sort | recanvo: a database of real-world communicative and affective nonverbal vocalizations |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404278/ https://www.ncbi.nlm.nih.gov/pubmed/37543663 http://dx.doi.org/10.1038/s41597-023-02405-7 |
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