ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy
ABCD represents a foundational computational approach to accelerate the innovation and preclinical testing of conversational AI partners for speech-language therapy. ABCD circumvents the barriers of collecting diverse errorful speech samples for clinical conversational AI fine-tuning. As AI systems-including large language models and speech technologies-advance rapidly, ABCD will scale accordingly, further enhancing its potential for clinical integration.
Authors
- Gerald C. Imaezue (ORCID: https://orcid.org/0000-0001-6026-6490)
- Harikrishna Marampelly
Institutions
- University of South Florida (US)
Publication Details
- Journal
- Journal of Speech Language and Hearing Research
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1044/2025_jslhr-25-00003
- Citations
- 4
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 9.92
Funders
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development