Recent years have seen a surge in finding association between faces and
voices within a cross-modal biometric application along with speaker
recognition. Inspired from this, we introduce a challenging task in
establishing association between faces and voices across multiple languages
spoken by the same set of persons. The aim of this paper is to answer two
closely related questions: "Is face-voice association language independent?"
and "Can a speaker be recognised irrespective of the spoken language?". These
two questions are very important to understand effectiveness and to boost
development of multilingual biometric systems. To answer them, we collected a
Multilingual Audio-Visual dataset, containing human speech clips of $154$
identities with $3$ language annotations extracted from various videos uploaded
online. Extensive experiments on the three splits of the proposed dataset have
been performed to investigate and answer these novel research questions that
clearly point out the relevance of the multilingual problem.

本文介绍建立跨语言讲者的面孔和声音之间的关联，在多语言中回答面声关联是否是语言无关的，以及展示在多语言环境下语音特征识别的实验。