Evidence map›Paper›PMID 37543663›Full record

ArticleScientific data2023

ReCANVo: A database of real-world communicative and affective nonverbal vocalizations.

Kristina T Johnson, Jaya Narain, Thomas Quatieri, Pattie Maes, Rosalind W Picard

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kristina T Johnson *Massachusetts Institute of Technology, MIT Media Lab, Cambridge, MA, USA. ktj@mit.edu.ORCID http://orcid.org/0000-0003-4568-2060
Jaya Narain *Massachusetts Institute of Technology, MIT Media Lab, Cambridge, MA, USA. jnarain@alum.mit.edu.
Thomas QuatieriMassachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA, USA.ORCID http://orcid.org/0000-0003-1925-6340
Pattie MaesMassachusetts Institute of Technology, MIT Media Lab, Cambridge, MA, USA.
Rosalind W PicardMassachusetts Institute of Technology, MIT Media Lab, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5661-0022

Funding

United States Department of Defense | U.S. Air Force (United States Air Force) 2232US Air Force FA8702-15-D-0001
6 · The paper itself

Abstract

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.

Identifiers

PMID37543663
PMCPMC10404278

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.