language:
- en
tags:
- medical
Following the grand success of the DISPLACE 2023 and 2024 challenges, which received overwhelming participation and support from both academia and industry, we are thrilled to launch this new version focusing on advancing research in multilingual medical and conversational speech processing.
The event is organized by the Learning and Extraction of Acoustic Patterns (LEAP) Lab, Department of Electrical Engineering, IISc Bangalore, and the Department of Electronics and Communication Engineering, NITK Surathkal, in collaboration with UPES, Dehradun.
We received highly positive feedback and wide recognition for the previous challenges during INTERSPEECH 2024, where the winners were announced on stage. Building on that success, DISPLACE-M 2026 introduces new tracks, tasks, and opportunities for the research community.
Challenge Tracks
Track 1: Speaker Diarization in Multilingual Scenarios
Track 2: Automatic Speech Recognition in Multi-Dialect Settings
Track 3: Topic Identification
Track 4: Text Summarization of Medical Dialogues
Track 1 focuses on speaker diarization (“who spoke when”) in multilingual conversations involving code-mixed speech. Track 2 addresses ASR for multi-dialect speech recorded in noisy medical environments. Track 3 involves topic identification (e.g., maternal health, child nutrition, sanitation). Track 4 focuses on generating concise, clinically relevant summaries from medical audio conversations.
Baseline systems will be released for all tracks, and a leaderboard evaluation platform will be available for participants to track their progress in real time.
Important Links
Registration: https://displace2026.github.io/#registration
Timeline: https://displace2026.github.io/#timeline
Form to Express Interest: https://forms.office.com/r/U5zLg8nihB
Website: https://displace2026.github.io/
Terms and Conditions : https://displace2026.github.io/docs/Terms_and_Conditions_DISPLACE_2026.pdf
Paper can be submitted to the INTERSPEECH 2026 main session.
license: cc-by-4.0 task_categories:
- Speaker Diarization
- Automatic Speech Recognition
- Topic Identification
- summarization
language: - English - Kannada - Hindi
Instructions
- Adhere to the Terms and Conditions document signed by your team.
- This dataset is released for use in the DISPLACE Challenge only..
- This dataset should not be shared with non-participants of this challenge without the consent from organisers.
Organizing Team
- Prof. Sriram Ganapathy | Associate Professor, LEAP Lab, IISc, Bangalore, India
- Dr Dhanya E | Postdoctoral Researcher, LEAP Lab, IISc, Bangalore, India
- Noumida A | Postdoctoral Researcher, LEAP Lab, IISc, Bangalore, India
- Ankita Meena | M.Tech Student, IISc Bangalore, India
- Victor Azad | M.Tech Student, IISc Bangalore, India
- Manas Sameer Nanivadekar | Research Intern, IISc Bangalore, India
- Prof. Deepu Vijayasenan | Professor Professor, NITK, Surathkal, India
- Pratik Roy Chowdhuri | Research Scholar, NITK, Surathkal, India
- Ashwini Nagaraj Shenoy | Junior Research Fellow, NITK Surathkal, India
- Supreeth A | Junior Research Fellow, NITK Surathkal, India
- Dr. Kalluri Shareef Babu | Assistant Professor, UPES Dehradun, India
- Dr. Srikanth Raj Chetupalli | Assistant Professor, IIT Bombay, India
- Indian Institute of Science (IISc), Bangalore-560012, India
- National Institute of Technology Karnataka (NITK), Surathkal-575025, India
- UPES Dehradun, Uttarakhand-248007, India
- Indian Institute of Technology Bombay (IITB), Mumbai-400076, India
Contact Us
- Please reach out to displace2026@gmail.com for any queries.