BFI-based speaker personality perception using acoustic-prosodic features

Chia Jui Liu, Chung Hsien Wu, Yu Hsien Chiu

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

This paper presents an approach to automatic prediction of the traits the listeners attribute to a speaker they never heard before. In previous research, the Big Five Inventory (BFI), one of the most widely used questionnaires, is adopted for personality assessment. Based on the BFI, in this study, an artificial neural network (ANN) is adopted to project the input speech segment to the BFI space based on acoustic-prosodic features. Personality trait is then predicted by estimating the BFI scores obtained from the ANN. For performance evaluation, the BFI with two versions (one is a complete questionnaire and the other is a simplified version) were adopted. The experiments were performed over a corpus of 535 speech samples assessed in terms of personality traits by experienced subjects. The results show that the proposed method for predicting the trait is efficient and effective and the prediction accuracy rate can achieve 70%.

原文English
主出版物標題2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs
出版狀態Published - 2013 十二月 1
事件2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan
持續時間: 2013 十月 292013 十一月 1

出版系列

名字2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Other

Other2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
國家/地區Taiwan
城市Kaohsiung
期間13-10-2913-11-01

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 訊號處理

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