Voice centric personality evaluation in Children

Author(s)	Smt. Kavya S N, Smt. Amulya S Chandru, Ms. Rajeshwari N
Country	India
Abstract	A speech-based personality assessment for children is a method of evaluating a child's personality traits by analyzing patterns in their speech, using artificial intelligence to extract cues like tone of voice, word choice, and speech rate to infer personality characteristics like extroversion, agreeableness or emotional stability, offering an alternative to traditional personality tests that might not be suitable for young children due to their unique communication styles. The proposed system aims to develop an automatic children's personality assessment from emotional speech using Convolutional neural networks (CNN). The system analyzes a child's emotional speech to identify their personality traits in less time compare to other traditional methods.
Keywords	Convolutional neural network, Children’s Personality Questionnaire, MX Net, TensorFlow and Voice Centric Personality.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-11
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.77909

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