Berkeley Speech AI Health and Education Workshop

Hosted by BAIR Lab's Speech Group, this is the first workshop for Speech AI for Healthcare and Education, aiming to bring together researchers, practitioners, and students to explore how advances in speech and language technologies can transform healthcare and education. We will discuss how speech AI can address real-world challenges such as improving accessibility, supporting diagnosis and therapy, enhancing learning experiences, and enabling more natural human-computer interaction. Through talks, demos, and discussions, participants will gain insight into emerging opportunities and open research problems at the intersection of speech technology, medicine, and education.

12:30–12:40 — Introduction & Program Overview (Jiachen Lian)

12:40–1:30 — Keynote: Dysfluency Modeling: Universal Biomarker for Speech Language Disorders + QA (Prof. Gopala Anumanchipalli)

1:40–2:30 — Invited Talk: Voice as a Biomarker: Toward Interpretable and Inclusive Speech Technology for Healthcare + QA (Dr. Zhengjun Yue, Assistant Professor, Technology University of Delft)

2:30–2:40 — Break (refreshments provided)

2:45–3:15 — Foundational Speech Healthcare Model: Universal Phoneme Encoder (Chenxu Guo)

3:20–3:35 — Semantics Disorder (Martin Li, Sarika Pasumarthy)

3:40–4:20 — Universal AI Language Screening for Kids Speech: K-Function (Maggie Dong, Celine Chen, Bonnie Wang, Martin Li), Dyslexia (Sanjana Avinash Taware)

4:20–4:30 — Break (refreshments provided)

4:35–4:50 — Product Showcase and future of HCI (Xiaoyu Shi, SAP)

4:55–5:20 — AI Agent with SLP for Speech Language Disorders (Harrison Li, Kevin Wang)

5:25–5:55 — Foundational Speech Healthcare Model: Articulatory Robot (Akshay Anand, Saaketh Kanduri, Ayush Ghosh, Cathy Sheng)

6:00–6:15 — Panel discussion: Future of AI Healthcare + Health (Everyone)

6:15–8:00 — Social + Dinner (food is provided)