Belin Pascal, Fillion-Bilodeau Sarah, Gosselin Frédéric
Department of Psychology, University of Glasgow, Glasgow, Scotland.
Behav Res Methods. 2008 May;40(2):531-9. doi: 10.3758/brm.40.2.531.
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of anger, disgust, fear, pain, sadness, surprise, happiness, and pleasure (plus a neutral expression), recorded by 10 different actors (5 of them male and 5 female). Ratings of valence, arousal, and intensity for eight emotions were collected for each vocalization from 30 participants. Analyses revealed high recognition accuracies for most of the emotional categories (mean of 68%). They also revealed significant effects of both the actors' and the participants' gender: The highest hit rates (75%) were obtained for female participants rating female vocalizations, and the lowest hit rates (60%) for male participants rating male vocalizations. Interestingly, the mixed situations--that is, male participants rating female vocalizations or female participants rating male vocalizations--yielded similar, intermediate ratings. The Montreal Affective Voices are available for download at vnl.psy.gla.ac.uk/ (Resources section).
蒙特利尔情感语音库包含90个对应愤怒、厌恶、恐惧、痛苦、悲伤、惊讶、快乐和愉悦（外加一个中性表情）等情绪的非语言情感爆发声音片段，由10名不同演员（5名男性和5名女性）录制。从30名参与者那里收集了对每种发声的效价、唤醒度和强度的评分。分析显示，大多数情感类别具有较高的识别准确率（平均为68%）。分析还揭示了演员性别和参与者性别的显著影响：女性参与者对女性发声的评分命中率最高（75%），男性参与者对男性发声的评分命中率最低（60%）。有趣的是，混合情况——即男性参与者对女性发声进行评分或女性参与者对男性发声进行评分——产生了相似的中间评分。蒙特利尔情感语音库可在vnl.psy.gla.ac.uk/（资源板块）下载。
