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From speech to personality: mapping voice quality and intonation into personality differences

Published: 29 October 2012 Publication History

Abstract

From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the personality space can be inferred from prosodic features. The experiments, based on ordinal regression techniques, have been performed over a corpus of 640 speech samples comprising 322 individuals assessed in terms of personality traits by 11 human judges, which is the largest database of this type in the literature. The results show that the mutual position of two individuals can be predicted with up to 80% accuracy.

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    cover image ACM Conferences
    MM '12: Proceedings of the 20th ACM international conference on Multimedia
    October 2012
    1584 pages
    ISBN:9781450310895
    DOI:10.1145/2393347
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 October 2012

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    Author Tags

    1. big five personality model
    2. nonverbal vocal behavior
    3. personality assessment
    4. social signal processing

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    MM '12: ACM Multimedia Conference
    October 29 - November 2, 2012
    Nara, Japan

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    View all
    • (2024)Multimodal Personality Prediction: A Real-Time Recognition System for Social Robots with Data Acquisition2024 21st International Conference on Ubiquitous Robots (UR)10.1109/UR61395.2024.10597440(673-676)Online publication date: 24-Jun-2024
    • (2024)Personality Traits and Self-Reported Vocal Fatigue and Other Voice Measures Among TeachersJournal of Voice10.1016/j.jvoice.2024.09.023Online publication date: Oct-2024
    • (2024)All signals point to personality: A dual-pipeline LSTM-attention and symbolic dynamics framework for predicting personality traits from Bio-Electrical signalsBiomedical Signal Processing and Control10.1016/j.bspc.2024.10660996(106609)Online publication date: Oct-2024
    • (2022)What an “Ehm” Leaks About You: Mapping Fillers into Personality Traits with Quantum Evolutionary Feature Selection AlgorithmsIEEE Transactions on Affective Computing10.1109/TAFFC.2019.293069513:1(108-121)Online publication date: 1-Jan-2022
    • (2022)Digital InterviewsThe Future of Recruitment10.1108/978-1-83867-559-220221003(51-87)Online publication date: 11-Mar-2022
    • (2021)Personality computing: New frontiers in personality assessmentSocial and Personality Psychology Compass10.1111/spc3.1262415:7Online publication date: 2-Jun-2021
    • (2021)Personality Traits Classification Using Deep Visual Activity-Based Nonverbal Features of Key-Dynamic ImagesIEEE Transactions on Affective Computing10.1109/TAFFC.2019.294461412:4(1084-1099)Online publication date: 1-Oct-2021
    • (2021)Using Sampling Techniques and Machine Learning Algorithms to Improve Big Five Personality Traits Recognition from Non-verbal Cues2021 National Computing Colleges Conference (NCCC)10.1109/NCCC49330.2021.9428804(1-6)Online publication date: 27-Mar-2021
    • (2021)Automatic Personality Perception Using Autoencoder And Hierarchical Fuzzy Classification2021 26th International Computer Conference, Computer Society of Iran (CSICC)10.1109/CSICC52343.2021.9420627(1-7)Online publication date: 3-Mar-2021
    • (2021)Automatic Personality Traits Perception Using Asymmetric Auto-EncoderIEEE Access10.1109/ACCESS.2021.30768209(68595-68608)Online publication date: 2021
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