Even violins can cry: specifically vocal emotional behaviours also drive the perception of emotions in non-vocal music

被引:11
作者
Bedoya, D. [1 ]
Arias, P. [1 ,2 ]
Rachman, L. [3 ]
Liuni, M. [4 ]
Canonne, C. [1 ]
Goupil, L. [5 ]
Aucouturier, J-J [6 ]
机构
[1] Sorbonne Univ, Sci & Technol Mus & Sound, CNRS, IRCAM, Paris, France
[2] Lund Univ, Dept Cognit Sci, Lund, Sweden
[3] Univ Groningen, Fac Med Sci, Groningen, Netherlands
[4] Alta Voce SAS, Houilles, France
[5] Univ East London, BabyDevLab, London, England
[6] Univ Bourgogne Franche Comte, FEMTO ST Inst, CNRS, Besancon, France
基金
欧洲研究理事会;
关键词
voice; music; emotions; NONLINEAR PHENOMENA; SPEECH PROSODY; EXPRESSION; CUES; REPRESENTATIONS; COMMUNICATION; RECOGNITION; SPEAKING; CONTEXT; SOUND;
D O I
10.1098/rstb.2020.0396
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A wealth of theoretical and empirical arguments have suggested that music triggers emotional responses by resembling the inflections of expressive vocalizations, but have done so using low-level acoustic parameters (pitch, loudness, speed) that, in fact, may not be processed by the listener in reference to human voice. Here, we take the opportunity of the recent availability of computational models that allow the simulation of three specifically vocal emotional behaviours: smiling, vocal tremor and vocal roughness. When applied to musical material, we find that these three acoustic manipulations trigger emotional perceptions that are remarkably similar to those observed on speech and scream sounds, and identical across musician and non-musician listeners. Strikingly, this not only applied to singing voice with and without musical background, but also to purely instrumental material. This article is part of the theme issue 'Voice modulation: from origin and mechanism to social impact (Part I)'.
引用
收藏
页数:12
相关论文
共 69 条
[1]   Do nonlinear vocal phenomena signal negative valence or high emotion intensity? [J].
Anikin, Andrey ;
Pisanski, Katarzyna ;
Reby, David .
ROYAL SOCIETY OPEN SCIENCE, 2020, 7 (12)
[3]   The perceptual effects of manipulating nonlinear phenomena in synthetic nonverbal vocalizations [J].
Anikin, Andrey .
BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING, 2020, 29 (02) :226-247
[4]   Implicit associations between individual properties of color and sound [J].
Anikin, Andrey ;
Johansson, N. .
ATTENTION PERCEPTION & PSYCHOPHYSICS, 2019, 81 (03) :764-777
[5]   Soundgen: An open-source tool for synthesizing nonverbal vocalizations [J].
Anikin, Andrey .
BEHAVIOR RESEARCH METHODS, 2019, 51 (02) :778-792
[6]  
[Anonymous], 1874, DESCENT MAN SELECTIO
[7]  
[Anonymous], 2001, Glot International
[8]   Beyond Correlation: Acoustic Transformation Methods for the Experimental Study of Emotional Voice and Speech [J].
Arias, Pablo ;
Rachman, Laura ;
Liuni, Marco ;
Aucouturier, Jean-Julien .
EMOTION REVIEW, 2021, 13 (01) :12-24
[9]   Realistic Transformation of Facial and Vocal Smiles in Real-Time Audiovisual Streams [J].
Arias, Pablo ;
Soladie, Catherine ;
Bouafif, Oussema ;
Roebel, Axel ;
Seguier, Renaud ;
Aucouturier, Jean-Julien .
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020, 11 (03) :507-518
[10]   Auditory smiles trigger unconscious facial imitation [J].
Arias, Pablo ;
Belin, Pascal ;
Aucouturier, Jean-Julien .
CURRENT BIOLOGY, 2018, 28 (14) :R782-R783