CVDec 23, 2025
Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge
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
arXiv:2512.20376v12 citationsh-index: 10
Originality Synthesis-oriented
AI Analysis
This is an incremental report summarizing a challenge for researchers in multimodal AI and speech processing.
The paper tackles the problem of face-voice association in multilingual scenarios where test languages differ from training ones, as addressed by the FAME 2026 Challenge, but does not report specific results or numbers.
Over half of the world's population is bilingual and people often communicate under multilingual scenarios. The Face-Voice 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.