How does real affect affect affect recognition in speech?

Truong, Khiet P.

doi:10.3990/1.9789036528801

Cited by 6 publications

(2 citation statements)

References 102 publications

(224 reference statements)

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“…In appraisal theorists' view, the emotion process is considered as a varying pattern of change in several subsystems of the organism that is integrated into coherent clusters (Scherer, 1984(Scherer, , 2001. Results on emotion annotation provide support for the appraisal theory of emotion (Truong, 2009).…”

Section: Introductionsupporting

confidence: 54%

(Non)cooperative Dialogues

Cavicchio

Poesio

2012

Hum Factors

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Section: Introductionsupporting

confidence: 54%

(Non)cooperative Dialogues

Cavicchio

Poesio

2012

Hum Factors

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“…For such purposes, predictors of emotional content would obviously be very useful. In addition to the acoustic features that were shown to correlate with emotional content, it would be instructive to include other, more sophisticated ones, in particular those that are more spectral in nature, or relate to aspects of voice quality ͑see Truong, 2009;Bitouk et al, 2010͒. In future work, using a larger corpus than the one employed here, it would be interesting to explore whether such measures, in combination with other acoustic features, are useful to automatically detect stretches of speech that presignal negative or positive emotional content. …”

Section: Discussionmentioning

confidence: 99%

Prosodic predictors of upcoming positive or negative content in spoken messages

Swerts

Hirschberg

2010

The Journal of the Acoustical Society of America

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This article examines potential prosodic predictors of emotional speech in utterances perceived as conveying that good or bad news is about to be delivered. Speakers were asked to call an experimental confederate to inform her about whether or not she had been given a job she had applied for. A perception study was then performed in which initial fragments of the recorded utterances, not containing any explicit lexical cues to emotional content, were presented to listeners who had to rate whether good or bad news would follow the utterance. The utterances were then examined to discover acoustic and prosodic features that distinguished between good and bad news. It was found that speakers in the production study were not simply reflecting their own positive or negative mood during the experiment, but rather appeared to be influenced by the valence of the positive or negative message they were preparing to deliver. Positive and negative utterances appeared to be judged differently with respect to a number of perceived attributes of the speakers' voices (like sounding hesitant or nervous). These attributes correlated with a number of automatically obtained acoustic features.

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