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YouTube

JSALT 2025 Summer Workshop - Opening Day: Speech and Language Technology Research Presentations

Center for Language & Speech Processing(CLSP), JHU via YouTube

Overview

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Explore the opening day of the JSALT 2025 Summer Workshop on speech and language technology in this comprehensive 3.5-hour conference recording from Brno University of Technology in the Czech Republic. Begin with welcome remarks and discover the rich history of these influential summer workshops through Sanjeev Khudanpur's historical overview. Dive into four cutting-edge research presentations covering the latest advances in speech and language processing: learn about EMMA, an end-to-end multi-channel multi-talker automatic speech recognition system; examine LLM role-playing agents that maintain consistent character personas; discover AuGI's approach to audio general intelligence; and explore TTS4ALL's solutions for text-to-speech synthesis in low-resource scenarios. Each presentation includes dedicated discussion and Q&A sessions where you can hear expert insights and community feedback. Access detailed timestamps to navigate directly to specific talks or discussions, making this an invaluable resource for researchers, practitioners, and students interested in the current state and future directions of speech and language technology research.

Syllabus

00:10 — Call to Order – Honza Černocký
00:15 — Welcome Remarks – BUT Rector & FIT Representative
00:20 — How We Got Here: A History of the Summer Workshops – Sanjeev Khudanpur
00:40 — EMMA: End-to-end Multi-channel Multi-talker ASR – Lukáš Burget
01:05 — Discussion & Q&A
01:10 — Play Your Part: LLM Role-playing Agents That Stick to Their Role – Ricard Marxer
01:35 — Discussion & Q&A
01:40 — Break
01:55 — AuGI: Towards Audio General Intelligence – Ramani Duraiswami
02:20 — Discussion & Q&A
02:25 — TTS4ALL: TTS in Low Resource Scenarios – Yannick Estève
02:50 — Discussion & Q&A
02:55 — JSALT 2025 Organizational Information – Honza Černocký

Taught by

Center for Language & Speech Processing(CLSP), JHU

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