Gender effect in trait recognition

Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Zulfiqar Ali, Awais Mahmood, Mohamed Faisal

Research output: Contribution to conferencePaperpeer-review


This paper investigates the gender effect in speaker trait recognition especially in likability and personality detection. The acoustic features, classification methods, and feature selection techniques are adopted from the prescribed platform of the Interspeech 2012 Speaker Trait Challenge. In the proposed method, first we separate the files according to gender. Then features and classifiers are applied on gender dependent cases. In the experiments, we find that gender dependent trait recognition is higher than gender independent cases. We also find that the features and classification methods for male and female are different from the best cases. Our proposed technique outperforms the baseline result provided in the challenge in both likability and personality detection.

Original languageEnglish
Number of pages4
Publication statusPublished (in print/issue) - 1 Jan 2012
Event2012 World Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, United States
Duration: 24 Oct 201226 Oct 2012


Conference2012 World Congress on Engineering and Computer Science, WCECS 2012
Country/TerritoryUnited States
CitySan Francisco


  • Feature selection
  • Likability
  • Personality
  • Speaker trait recognition


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