Evidence map›Paper›PMID 40767672›Full record

ArticleCoDAS2025

Acoustic-prosodic measures discriminate the emotions of Brazilian portuguese speakers.

Alexandra Christine de Aguiar, Ana Carolina Constantini, Ronei Marcos de Moraes, Anna Alice Almeida

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alexandra Christine de AguiarPrograma de Pós-graduação em Modelos de Decisão e Saúde, Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.ORCID http://orcid.org/0000-0002-7242-6348
Ana Carolina ConstantiniDepartamento de Desenvolvimento Humano e Reabilitação, Universidade Estadual de Campinas - UNICAMP - Campinas (SP), Brasil.ORCID http://orcid.org/0000-0002-0387-5166
Ronei Marcos de MoraesDepartamento de Estatística, Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.ORCID http://orcid.org/0000-0001-8436-8950
Anna Alice AlmeidaDepartamento de Fonoaudiologia, Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.ORCID http://orcid.org/0000-0002-9119-5629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo verify if there is a difference in acoustic-prosodic measures in different emotional states of speakers of Brazilian Portuguese (BP).

methodsThe data sample consisted of 182 audio signals produced by actors (professionals or students), from the semi-spontaneous speech task "Look at the blue plane" in the various emotions (joy, sadness, fear, anger, surprise, disgust) and neutral emission. Values were extracted from acoustic-prosodic measures of duration, fundamental frequency and intensity of the various emotions. The Friedman comparison test was used to verify whether these measures are able to discriminate emotions.

resultsThe prosodic-acoustic analysis revealed significant variations between emotions. The disgust emotion stood out for having the highest rate of utterance, with higher values of duration. In contrast, the joy exhibited a more accelerated speech, with lower values of duration and greater intensity. Sadness and fear were marked by lower intensity and lower frequencies, and fear presented the lowest positive asymmetry values of z-score and z-smoothed, with less elongation of the segments. Anger was highlighted by the higher vocal intensity, while surprise recorded the highest values of fundamental frequency.

conclusionThe acoustic-prosodic measures proved to be effective tools for differentiating emotions in CP speakers. These parameters have great potential to discern different emotional states, broaden knowledge about vocal expressiveness and open possibilities for emotion recognition technologies with applications in artificial intelligence and mental health.

Indexed as

EmotionsSpeech AcousticsAdultBrazilFemaleHumansMaleSpeech Production MeasurementYoung Adult

Identifiers

PMID40767672
PMCPMC12323398

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LicenceCC BY
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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 Socratic graph.