• Aucun résultat trouvé

Acoustic profiles in vocal emotion expression

N/A
N/A
Info
Télécharger
Protected

Academic year: 2022

Partager "Acoustic profiles in vocal emotion expression"

Copied!
25
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

Article

Reference

Acoustic profiles in vocal emotion expression

BANSE, Rainer, SCHERER, Klaus R.

Abstract

Professional actors' portrayals of 14 emotions varying in intensity and valence were presented to judges. The results on decoding replicated earlier findings on the ability of judges to infer vocally expressed emotions with much-better-than-chance accuracy, including consistently found differences in the recognizability of different emotions. A total of 224 portrayals were subjected to digital acoustical analysis to obtain profiles of vocal parameters for different emotions. The data suggest that vocal parameters not only index the degree of intensity typical for different emotions but also differentiate valence or quality aspects. The data are also used to test theoretical predictions on vocal patterning based on the component process of model of emotion (K. R. Scherer, see record 1986-16849-001). Although most hypotheses are supported, some need to be revised on the basis of the empirical evidence. Discriminant analysis and jackknifing show remarkably high hit rates and patterns of confusion that closely mirror those found for listener-judges.

BANSE, Rainer, SCHERER, Klaus R. Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology , 1996, vol. 70, no. 3, p. 614-636

DOI : 10.1037/0022-3514.70.3.614

Available at:

http://archive-ouverte.unige.ch/unige:102055

Disclaimer: layout of this document may differ from the published version.

1 / 1

(2)

See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/14353171

Acoustic Profiles in Vocal Emotion Expression

Article in Journal of Personality and Social Psychology · April 1996

DOI: 10.1037/0022-3514.70.3.614 · Source: PubMed

CITATIONS

1,248

READS

1,955

2 authors:

Some of the authors of this publication are also working on these related projects:

Emotion regulationView project

Facial mimicryView project Rainer Banse

University of Bonn

104PUBLICATIONS 4,851CITATIONS

SEE PROFILE

Klaus Scherer University of Geneva

392PUBLICATIONS 30,706CITATIONS

SEE PROFILE

All content following this page was uploaded by Rainer Banse on 17 May 2014.

The user has requested enhancement of the downloaded file.

(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
(18)
(19)
(20)
(21)
(22)
(23)
(24)
(25)

View publication stats View publication stats

Références

Télécharger maintenant ( PDF - 25 Page - 2.93 MB )

Documents relatifs

Culture affects not only the o c currence of depressive illness but also the manifestation of symptoms and the evolution of the disease.

A recent WHO survey in general health care settings in 14 countrieso confirmed that depressive disorders were the most common mental disorder among primary care

Data Quality Not Your Typical Database Problem

Data cleaning (also known as data cleansing, record linkage and many other terminologies) is growing as a major application requirement and an interdisciplinary research area. In

We also ask that this file not be used for submitting corrections.

Indeed, in Escherichia coli, resistance to nonbiocidal antibio fi lm polysaccharides is rare and requires numerous mutations that signi fi cantly alter the surface

Design Bioethics, Not Only as a Research Tool but Also a Pedagogical Tool

In these cases, the tool should be thought as part of a more embedded pedagogical strategy including face-to-face teaching session which allow for human interactions and

Recognition of Emotion From Vocal Cues

Voice-synthesized samples seemed to capture some cues promoting emotion recognition, but correct identification did not approach that of other segments.. Recognition of

On the Symbolic Functions of Vocal Affect Expression

If listeners are able to identify a particular emotional state of the sender from the acoustic features of the vocalisation, thus inferring the nature of the emotion-

The exchanges between the gas phase and the solid phase depend not only on the adsorption and desorption rates but also on the geometry of the surface of the grains

Indeed, for smooth surfaces, the probability of colliding with the surface after desorption is too low for recapture to be signi fi cant, while for high degrees of roughness ( i.e.,

Also, the regularity properties of the initial grid are preserved

The aim of this paper is to extend the estimates concerning the residual type indicators to the mortar finite element discretization of a model problem, more precisely of the