Human-like-Spoken-Dialogue-Systems-Challenge

The challenge aims to promote systematic, real-world evaluation of next-generation dialogue systems and advance the field toward truly human-like interaction.

Challenge Call

Recent breakthroughs in large foundation models and speech technology have propelled spoken dialogue systems toward more natural and expressive interactions. However, evaluating the true “human-likeness” of these systems remains an open challenge, as existing benchmarks often fall short in capturing emotional intelligence and real-time conversational dynamics. The 2026 HumDial Challenge (Human-like Spoken Dialogue Systems Challenge) addresses this critical gap by introducing two focused tracks: Emotional Intelligence and Full-Duplex Interaction. Participants will tackle rich, multi-turn dialogues that demand nuanced emotional reasoning, dynamic empathy, and real-time coordination. With comprehensive evaluation frameworks and human-annotated real-recording datasets, the challenge aims to establish a new standard for assessing human-like dialogue capabilities, driving the next generation of emotionally aware, fluidly interactive AI agents.

Get started

  • Please click “Registration” to participate.
  • Further details regarding the challenge will be made available shortly.
  • Aug 20, 2025:Registration opens;
  • Sep 10, 2025: The training set,validation set,data synthesis pipeline, and baseline systems are released.
  • Nov 01, 2025: Test set released
  • Nov 15, 2025: Submission deadline for both tracks.
  • Dec 7, 2026: Grand challenge 2-page paper deadline (invited teams only).
  • Jan 11, 2026: Grand challenge 2-page paper acceptance notification.
  • Jan 18, 2026: Camera-ready Grand Challenge 2-page Papers Due

Organizers

AISHELL, Hui Bu, Eng Siong Chng, Xuelong Geng, GuoJian Li, Guangzhi Sun, Shuai Wang, Shuiyuan Wang, Xinsheng Wang, Lei Xie, Longshuai Xiao, Xin Xu, Hongfei Xue, Chao Zhang, Zihan Zhang, Zhixian Zhao(Sorted by surname in alphabetical order)

Are you ready?

Get started with task 1