Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge

Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das +5 more
12/23/2025
cs.CV

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{moscati2025linking,
  title  = {Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge},
  author = {Marta Moscati and Ahmed Abdullah and Muhammad Saad Saeed and Shah Nawaz and Rohan Kumar Das and Muhammad Zaigham Zaheer and Junaid Mir and Muhammad Haroon Yousaf and Khalid Mahmood Malik and Markus Schedl},
  year   = {2025},
  eprint = {2512.20376},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.20376v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2512.20376.svg)](https://codeofpaper.com/paper/2512.20376)

Discussion