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A newer version of the Gradio SDK is available:
6.8.0
metadata
title: MedASR Medical Speech Recognition
emoji: 🏥
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.2.0
app_file: app.py
pinned: false
license: apache-2.0
🏥 MedASR - Medical Speech Recognition Demo
This is a HuggingFace Space demo for the MedASR model.
About MedASR
MedASR is a speech-to-text model based on the Conformer architecture, pre-trained specifically for medical dictation. It is designed to handle:
- ✅ Medical terminology
- ✅ Radiology dictation
- ✅ Physician-patient conversations
- ✅ Various medical specialities
Model Details
| Property | Value |
|---|---|
| Model Type | Automated Speech Recognition |
| Architecture | Conformer |
| Parameters | 105M |
| Input | Mono-channel audio @ 16kHz |
| Output | Text |
| License | Health AI Developer Foundations |
Usage
- Click the microphone icon to record audio or upload an audio file
- Click the "Transcribe" button
- View the transcribed medical text
Performance
| Dataset | MedASR WER |
|---|---|
| RAD-DICT | 6.6% |
| GENERAL-DICT | 9.3% |
| FM-DICT | 8.1% |
| MIMIC | 6.6% |
Citation
bibtex @inproceedings{wu2023last, title={Last: Scalable Lattice-Based Speech Modelling in Jax}, author={Wu, Ke and Variani, Ehsan and Bagby, Tom and Riley, Michael}, booktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={1–5}, year={2023}, organization={IEEE} }
Resources
License
The use of MedASR is governed by the Health AI Developer Foundations terms of use.