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A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings

International organizations such as the United Nations drive policies that impact our everyday lives. Diverse representation of people and ideas in the decision making process of such bodies is critical to ensure that the policies work for everyone. One aspect of the representation is the partipants’ expressed gender. In this work, we focus on analyzing meetings at the International Telecommunication Union (ITU). These meetings include a moderator who mediates the proceedings between delegates from across the world speaking in different languages. For the purpose of quantifying the participation of delegates, we propose a scalable, human-in-the-loop system to first identify the moderator’s speech and estimate the speaking time with respect to gender for all the speakers. Our proposed system includes three main audio modules: speech activity detection, gender identification and moderator verification using a human-labelled speech probe. We then estimate percentage of speaking time controlled for the moderator’s speech. We present detailed and multilingual performance evaluation of the component systems using state-of-the-art technologies for these tasks. Finally, we examine the vocal participation of female delegates in the 2018 ITU Plenipotentiary Conference spanning for 18 days and about 108 hours of audio recordings.