Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
近年来，脑机接口技术发展迅速，基于脑电（EEG）信号的环境感知与场景分类逐渐成为研究热点。通过对脑电信号中听觉相关信息的建模与解码，实现对个体所处环境场景的识别，有助于推动辅助听觉设备、智能家居控制、医疗监测等领域的发展。 相较于传统仅基于外部音频信号的场景分类任务，类脑听觉场景分类更加关注听觉刺激与脑电响应之间的内在关联，具有更强的交叉学科研究意义与… Official track: 多模态技术. Sponsor: 中国科学技术大学. Teams entered: 574.
Resources
What this competition gives you
Taken from the competition's official page.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic familiarity with LLM tooling or agent/skill workflows
- 04
Prior competition or project experience recommended
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jun 16, 2026