Lekha Shrivastava

Computer science

Hometown: Phoenix, Arizona, United States

Graduation date: Spring 2029

Additional details: Honors student

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FURI | Spring 2026

Enhancing ASR Models for Reliable EMS Radio Transmissions

The objective of this research is to determine if fine-tuned Automatic Speech Recognition (ASR) models can accurately transcribe noisy Emergency Medical Services (EMS) radio communications. By training models with domain-specific data and simulated noise, results indicate a significant reduction in word error rates. This enhanced accuracy streamlines hospital preparedness and reduces critical medical errors, ultimately improving patient outcomes during high-stakes transfers. Future work should focus on developing a comprehensive pipeline to predict patient outcomes directly from transcribed EMS communications.

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