Abstract
Over half of the world’s population is bilingual and people often communicate under multilingual scenarios. The FaceVoice Association in Multilingual Environments (FAME) 2026 Challenge, held at ICASSP 2026, focuses on developing methods for face-voice association that are effective when the language at test-time is different than the training one. This report provides a brief summary of the challenge.
Citation
Marta Moscati*, Ahmed Abdullah*, Muhammad Saad Saeed*, Shah Nawaz*, Rohan Kumar Das*, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Mahmood Malik, Markus Schedl
Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge
Proceedings of the 51st IEEE International Conference on Acoustics, Speech, and Signal Processing, 2026.
BibTeX
@inproceedings{Moscati2026FAME2026,
title = {Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge},
author = {Moscati*, Marta and Abdullah, Ahmed* and Saeed, Muhammad Saad* and Nawaz*, Shah and Das, Rohan Kumar* and Zaheer, Muhammad Zaigham and Mir, Junaid and Yousaf, Muhammad Haroon and Malik, Khalid Mahmood and Schedl, Markus},
booktitle = {Proceedings of the 51st IEEE International Conference on Acoustics, Speech, and Signal Processing},
publisher = {IEEE},
year = {2026}
}