IEEE ICASSP 2026 Grand Challenge on Automatic Song Aesthetics Evaluation
Participate in the IEEE ICASSP 2026 Grand Challenge on Automatic Song Aesthetics Evaluation. Develop models to predict human ratings of song aesthetics based on audio.
The IEEE ICASSP 2026 Grand Challenge (GC) on Automatic Song Aesthetics Evaluation is now open for participant registration. This challenge aims to develop models that predict human ratings of song aesthetics based solely on audio, bridging signal processing, affective computing, and machine learning.
- Organized by: Ting Dang, Haohe Liu, Hao Liu, Hexin Liu, Lei Xie, Huixin Xue, Wei Xue, Guobin Ma, Hao Shi, Yui Sudo, Jixun Yao, Ruibin Yuan, Jingyao Wu, Wenwu Wang
- Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=Challenge&ID=2
- Challenge website: https://aslp-lab.github.io/Automatic-Song-Aesthetics-Evaluation-Challenge/
- ICASSP 2026 website: https://2026.ieeeicassp.org/
Key timeline:
- September 01, 2025: Registration Opens
- September 10, 2025: Train set and baseline system release
- November 20, 2025: Results Submission Deadline
- May 4-8, 2026: ICASSP 2026 in Spain
Tags: Automatic Song Aesthetics Evaluation, IEEE ICASSP 2026, Grand Challenge, Machine Learning, Signal Processing, Affective Computing, Music Generation
