  This paper presents the development of a prototype Automatic Speech
Recognition (ASR) system specifically designed for Bengali biomedical data.
Recent advancements in Bengali ASR are encouraging, but a lack of
domain-specific data limits the creation of practical healthcare ASR models.
This project bridges this gap by developing an ASR system tailored for Bengali
medical terms like symptoms, severity levels, and diseases, encompassing two
major dialects: Bengali and Sylheti. We train and evaluate two popular ASR
frameworks on a comprehensive 46-hour Bengali medical corpus. Our core
objective is to create deployable health-domain ASR systems for digital health
applications, ultimately increasing accessibility for non-technical users in
the healthcare sector.
