In this paper we describe an automated system for speaker-independent personality prediction in the context of human-human spoken conversations. The evaluation ...
Jan 21, 2016 · In this paper we describe an automated system for speaker-independent personality prediction in the context of human-human spoken conversations.
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This paper describes anno- tation and experiments towards automatically inferring speak- ers personality traits in spontaneous conversations. In the first part, ...
[PDF] Using Linguistic Cues for the Automatic Recognition of ...
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Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, ...
In this paper we describe an automated system for speaker-independent personality prediction in the context of human-human spoken conversations. The evaluation ...
The trained personality trait recognition model is incorporated into the dialogue system to enable real-time user personality recognition. Face images were ...
Results reveal that high/low extraversion, consciousness and neuroticism traits can be automatically recognized with accuracy rate of 74.5%, 67.6% and 68.7%, ...
Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, ...
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Automatic Recognition of Personality in Conversation. François Mairesse, Marilyn Walker. mairesse-walker-2006-automatic PDF
Feb 16, 2024 · A dataset of human–machine dialogue with personality traits is a prerequisite for achieving personality prediction from human–machine dialogues.