Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Please, tell me about yourself: automatic personality assessment using short self-presentations
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Paralinguistics in speech and language-State-of-the-art and the challenge
Computer Speech and Language
Multimodal recognition of personality traits in human-computer collaborative tasks
Proceedings of the 14th ACM international conference on Multimodal interaction
Don't ask me what i'm like, just watch and listen
Proceedings of the 20th ACM international conference on Multimedia
Ten recent trends in computational paralinguistics
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Automatic user preference elicitation for music recommendation
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Hi YouTube!: personality impressions and verbal content in social video
Proceedings of the 15th ACM on International conference on multimodal interaction
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This paper reports preliminary experiments on automatic attribution of personality traits based on nonverbal vocal behavioral cues. In particular, the work shows how prosodic features can be used to predict, with an accuracy up to 75% depending on the trait, the personality assessments performed by human judges on a collection of 640 speech samples. The assessments are based on a short version of the Big Five Inventory, one of the most widely used questionnaires for personality assessment. The judges did not understand the language spoken in the speech samples so that the influence of the verbal content is limited. To tho best of our knowledge, this is the first work aimed at inferring automatically traits attributed by judges rather than traits self-reported by subjects.