Omkar2118/datasets huggingface dataset:
United-Syn-Med

The United-Syn-Med dataset is a specialized medical speech dataset designed to evaluate and improve Automatic Speech Recognition (ASR) systems within the healthcare domain. It comprises English medical speech recordings, with a particular focus on medical terminology and clinical conversations. The dataset is well-suited for various ASR tasks, including speech recognition, transcription, and classification, facilitating the development of models tailored for medical contexts.

This dataset supports a broad range of applications, including medical documentation automation, transcription of doctor-patient conversations, and medical knowledge extraction from audio data.

Introducing paper: High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR