A Voice-Based Gender and Internal State Combined Detection Model - Archive ouverte HAL
Communication Dans Un Congrès Année : 2011

A Voice-Based Gender and Internal State Combined Detection Model

Amir Aly
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Résumé

In human-robot interaction, gender and internal state detection play an important role in making the robot reacting in an appropriate manner. This research focuses on the important features to extract from a voice signal in order to construct successful gender and internal state detection systems, and shows the benefits of combining both systems together on the total average recognition score.
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Dates et versions

hal-01257445 , version 1 (17-01-2016)

Identifiants

  • HAL Id : hal-01257445 , version 1

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Amir Aly, Adriana Tapus. A Voice-Based Gender and Internal State Combined Detection Model. The 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2011, Lausanne, Switzerland. ⟨hal-01257445⟩

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