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Voice quality and loudness in affect perception

Authors: NI CHASAIDE, AILBHE; GOBL, CHRISTER; YANUSHEVSKAYA, IRENA;

Voice quality and loudness in affect perception

Abstract

Different voice qualities tend to vary in terms of their intrinsic loudness. Perceptual experiments have shown that voice quality variation can be strongly associated with the affective colouring of an utterance. The question addressed in this paper concerns the role that the intrinsic loudness variation might play in this voice quality-to-affect mapping. To test the hypothesis that the intrinsic loudness variation is not a major determinant of the perceived affective colouring, listeners rated the affective colouring of two series of stimuli: one series varied in voice quality and contained intrinsic loudness variation; the other series were of a constant voice quality, but matched loudness variations of the first series. The results overall support the hypothesis that loudness contributes relatively little to the perceived affective colouring of specific voice qualities. But variation in loudness (in the absence of voice quality variation) is not entirely irrelevant: some contribution of loudness to certain high activation affects was also found.

This research is supported by the EU-funded Network of Excellence on Emotion, HUMAINE.

Campinas, Brazil

PUBLISHED

Country
Ireland
Related Organizations
Keywords

Computer science

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
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