ROTTERDAM, Netherlands, Aug. 10, 2025 /PRNewswire/ — As part of Interspeech 2025, Nexdata will host the MLC-SLM Workshop on August 22 at Dock 14, Rotterdam Ahoy Convention Centre.
This workshop is dedicated to advancing multilingual conversational speech AI by addressing a pressing challenge in the field: the lack of multilingual, context-rich dialogue data for training LLM-based spoken dialogue systems.
About the Workshop
At the heart of the workshop is the MLC-SLM Challenge, a global initiative launched to promote innovation in speech language models using a newly released multilingual conversational dataset. The workshop will feature:
Announcement of challenge results and awards Keynotes and invited talks from leading experts in the field
Workshop Highlights:
Challenge Summary & Awards CeremonyA recap of the challenge objectives, results, and outstanding submissions that advanced the state of multilingual spoken dialogue models.
Keynote SpeakersShinji Watanabe, Associate Professor, "Carnegie Mellon University"Hung-yi Lee, Professor, "National Taiwan University"
Invited TalksMing Li, Professor, "Duke Kunshan University"Shuai Wang, Associate Professor, "Nanjing University"Pan Pan, Director of AI Business, Nexdata
Purpose & Audience
This full-day event will bring together leading academic researchers, industry practitioners, and data providers to discuss the future of multilingual spoken dialogue systems. The workshop will also serve as a platform to explore the challenges and opportunities in building scalable, multilingual, and context-aware speech models.
About Nexdata
As the host of the MLC-SLM Workshop, Nexdata provides high-quality training data solutions for AI development. With a broad portfolio of off-the-shelf datasets and flexible data collection and annotation services, Nexdata is committed to enabling breakthrough innovation across the AI industry.
Workshop Details:
Date: August 22, 2025Venue: Dock 14, Rotterdam Ahoy Convention Centre, NetherlandsFor more information and updates: https://www.nexdata.ai/competition/mlc-slm
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