# The ICME 2025 Audio Encoder Capability Challenge

arXiv: https://arxiv.org/abs/2501.15302 · HTML: https://mlsanity.com/paper/2501.15302/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Jan 2025.

## Built on by (most cited first, 1 of 1)

- [Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models](https://mlsanity.com/paper/2509.14427/) (2025)

## Abstract (arXiv)

This challenge aims to evaluate the capabilities of audio encoders, especially in the context of multi-task learning and real-world applications. Participants are invited to submit pre-trained audio encoders that map raw waveforms to continuous embeddings. These encoders will be tested across diverse tasks including speech, environmental sounds, and music, with a focus on real-world usability. The challenge features two tracks: Track A for parameterized evaluation, and Track B for parameter-free evaluation. This challenge provides a platform for evaluating and advancing the state-of-the-art in audio encoder design.