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arXiv · 2501.15302

The ICME 2025 Audio Encoder Capability Challenge

Junbo Zhang·Heinrich Dinkel·Qiong Song·Helen Wang·Yadong Niu·Si Cheng·Xiaofeng Xin·Ke Li·Wenwu Wang·Yujun Wang·Jian Luan
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Abstract

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.

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Junbo Zhang, Heinrich Dinkel, Qiong Song, Helen Wang, Yadong Niu, Si Cheng, Xiaofeng Xin, Ke Li, Wenwu Wang, Yujun Wang, Jian Luan. 2025-01-25. The ICME 2025 Audio Encoder Capability Challenge. https://arxiv.org/abs/2501.15302

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