Evidence map›Paper›PMID 41185770›Full record

ReviewAffective science2025

Behind a Voice There is a Speaker: Why Vocal Emotion Research Needs to Become 'Personal'.

Ana P Pinheiro

Abstract readReview
In one paragraph

Review in Affective science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ana P PinheiroFaculdade de Psicologia, CICPSI, Universidade de Lisboa, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The voice is a powerful social signal and a primary channel for communicating emotions when speakers are out of view. When we hear an emotional voice, we quickly form an impression of the person behind it. Neurocognitive models emphasize the multi-step dynamic operations that occur when listeners decode emotional information from vocal sounds. However, these models have primarily focused on stimulus quality, often neglecting the perception of other relevant person characteristics (e.g., gender, age, personal identity) evolving on different timescales. How do the emerging details about the speaker affect how listeners decode emotional information? And how are these different types of information integrated into a comprehensive impression of the speaker? This review examines recent data highlighting multiple stages of vocal expression analysis and the interplay between distinct types of nonverbal information revealed in the speaker's voice. It serves as a starting point for broader research examining how distinct person characteristics, perceived simultaneously or in close succession, interact and affect the decoding of vocal emotions.

Indexed as

EmotionPerson characteristicsSpeaker identityTime courseVoice

Identifiers

PMID41185770
PMCPMC12579658

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.