Sai Shiva Satwik Mallajosyula
Computer science
Hometown: Visakhapatnam, Andhra Pradesh, India
Graduation date: Spring 2025
FURI | Spring 2025
Developing Robust Transcription Models for Ambulance Call Data Using Domain Randomization Techniques
The researcher evaluated whisper’s speech-to-text model’s performance for hospital transcriptions. Initially, the model achieved a WER (word error rate) close to 53%. The researcher then worked on implementing domain randomization by adding noise to the dataset and fine-tuning the whisper model with this new dataset, achieving a WER of close to 47%. This has shown that techniques like domain randomization and data augmentation can effectively improve transcription accuracy. In the future, the researcher will work on exploring other speech-to-text models and refining noise injection techniques like adding real-world noise to the dataset (ambulance and traffic noises, etc.).
Mentor: Nakul Gopalan
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.