Psychoacoustic cues to emotion in speech prosody and music

There is strong evidence of shared acoustic profiles common to the expression of emotions in music and speech, yet relatively limited understanding of the specific psychoacoustic features involved. This study combined a controlled experiment and computational modelling to investigate the perceptual...

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Veröffentlicht in:	Cognition and emotion Jg. 27; H. 4; S. 658 - 684
Hauptverfasser:	Coutinho, Eduardo, Dibben, Nicola
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hove Taylor & Francis Group 01.06.2013 Psychology Press
Schlagworte:	Acoustic Stimulation Acoustics Adolescent Adult Affectivity. Emotion Arousal and valence Auditory Perception Biological and medical sciences Computer Modeling and Simulation Cues Cues/Cueing Emotion Emotional expressivity Emotions Female Fundamental and applied biological sciences. Psychology Humans Male Middle Aged Models, Psychological Music Music - psychology Neural networks Neural Networks (Computer) Perception Personality. Affectivity Prosody Psychoacoustics Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Research Subjects Speech Speech prosody Human Psychoacoustics Affect affectivity Cognition Emotion emotionality Neural network Experimental study Connectionism Prosody Valence Language Arousal and valence Neural networks Music Arousal Speech Speech prosody Simulation model Emotion
ISSN:	0269-9931, 1464-0600, 1464-0600
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Zusammenfassung:	There is strong evidence of shared acoustic profiles common to the expression of emotions in music and speech, yet relatively limited understanding of the specific psychoacoustic features involved. This study combined a controlled experiment and computational modelling to investigate the perceptual codes associated with the expression of emotion in the acoustic domain. The empirical stage of the study provided continuous human ratings of emotions perceived in excerpts of film music and natural speech samples. The computational stage created a computer model that retrieves the relevant information from the acoustic stimuli and makes predictions about the emotional expressiveness of speech and music close to the responses of human subjects. We show that a significant part of the listeners' second-by-second reported emotions to music and speech prosody can be predicted from a set of seven psychoacoustic features: loudness, tempo/speech rate, melody/prosody contour, spectral centroid, spectral flux, sharpness, and roughness. The implications of these results are discussed in the context of cross-modal similarities in the communication of emotion in the acoustic domain.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0269-9931 1464-0600 1464-0600
DOI:	10.1080/02699931.2012.732559