MediBeng-Whisper-Tiny
Technical Summary
MediBeng Whisper Tiny improves doctor-patient transcription by training the Whisper Tiny model to translate mixed Bengali-English speech into English, making it easier for analysis, record-keeping, and using AI in healthcare. solving core medical data engineering challenges. It processes clinical data inputs natively through its core repository architectures. Developers can implement and deploy this directly from the source repository.
💻 Quick Developer Integration
Embed or cite this asset in your research pipeline or GitHub README:
Similar Assets (Clinical Text)
AI-Powered-Healthcare-Intelligence-Network
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart...
chi-bench
Χ-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? solving core medical data engineering...
ClinGen
[ACL 2024 Findings] This is the code for our paper “Knowledge-Infused Prompting: Assessing and Advancing...