# Face-voice Association in Multilingual Environments (FAME) 2026 Challenge Evaluation Plan

arXiv: https://arxiv.org/abs/2508.04592 · HTML: https://mlsanity.com/paper/2508.04592/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 14 references that are in the map.
- First posted on arXiv 6 Aug 2025.

## Builds on (most cited first, 9 of 9)

- [Learnable PINs: Cross-Modal Embeddings for Person Identity](https://mlsanity.com/paper/1805.00833/) (2018)
- [Utterance-level Aggregation For Speaker Recognition In The Wild](https://mlsanity.com/paper/1902.10107/) (2019)
- [Fusion and Orthogonal Projection for Improved Face-Voice Association](https://mlsanity.com/paper/2112.10483/) (2021)
- [Cross-modal Speaker Verification and Recognition: A Multilingual Perspective](https://mlsanity.com/paper/2004.13780/) (2020)
- [Audio-visual Speaker Recognition with a Cross-modal Discriminative Network](https://mlsanity.com/paper/2008.03894/) (2020)
- [Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals](https://mlsanity.com/paper/1909.08685/) (2019)
- [Speaker Recognition in Realistic Scenario Using Multimodal Data](https://mlsanity.com/paper/2302.13033/) (2023)
- [PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association](https://mlsanity.com/paper/2505.17002/) (2025)
- [Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan](https://mlsanity.com/paper/2404.09342/) (2024)

## Built on by (most cited first, 6 of 6)

- [Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge](https://mlsanity.com/paper/2512.20376/) (2025)
- [Shared Multi-modal Embedding Space for Face-Voice Association](https://mlsanity.com/paper/2512.04814/) (2025)
- [RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association](https://mlsanity.com/paper/2512.02860/) (2025)
- [XM-ALIGN: Unified Cross-Modal Embedding Alignment for Face-Voice Association](https://mlsanity.com/paper/2512.06757/) (2025)
- [POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan](https://mlsanity.com/paper/2603.24569/) (2026)
- [Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge](https://mlsanity.com/paper/2607.13669/) (2026)

## Abstract (arXiv)

The advancements of technology have led to the use of multimodal systems in various real-world applications. Among them, audio-visual systems are among the most widely used multimodal systems. In the recent years, associating face and voice of a person has gained attention due to the presence of unique correlation between them. The Face-voice Association in Multilingual Environments (FAME) 2026 Challenge focuses on exploring face-voice association under the unique condition of a 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 scenarios. The challenge uses a dataset named Multilingual Audio-Visual (MAV-Celeb) for exploring face-voice association in multilingual environments. This report provides the details of the challenge, dataset, baseline models, and task details for the FAME Challenge.