  The advancements of technology have led to the use of multimodal systems in
various real-world applications. Among them, the audio-visual systems are one
of the widely used multimodal systems. In the recent years, associating face
and voice of a person has gained attention due to presence of unique
correlation between them. The Face-voice Association in Multilingual
Environments (FAME) Challenge 2024 focuses on exploring face-voice association
under a unique condition of multilingual scenario. This condition is inspired
from the fact that half of the world's population is bilingual and most often
people communicate under multilingual scenario. The challenge uses a dataset
namely, Multilingual Audio-Visual (MAV-Celeb) for exploring face-voice
association in multilingual environments. This report provides the details of
the challenge, dataset, baselines and task details for the FAME Challenge.
