Abstract
Many researches based on the English, French and German language have been done on the relationship between personality and speech with some relevant conclusions. Due to the difference between Chinese and other languages in pronunciation of acoustic characteristics, Chinese personalities and westerners, we put forward the Chinese and his personality prediction research in view. During the study, we collected 1936 speech pieces and their Big Five questionnaires from 78 Chinese. Built models for male and female with arguments of prosodic features such as pitch, intensity, formants and speak rate. Experiments’ result shows: (1) the third formant has the same effect as the first two in prediction of personality; (2) combination of pitch, intensity, formants and speak rate as classification parameters can achieve higher classification accuracy(more than 80%) than in single prosodic feature.
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Zhao, H., Yang, Z., Chen, Z., Zhang, X. (2015). Automatic Chinese Personality Recognition Based on Prosodic Features. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8935. Springer, Cham. https://doi.org/10.1007/978-3-319-14445-0_16
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DOI: https://doi.org/10.1007/978-3-319-14445-0_16
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