Post
119
🏥 Two medical English ASR models are up
Hey, back from a long holiday. While I was out the team kept working on this one and the results are pretty interesting. Medical English ASR, evaluated against the published MultiMed paper.
🩺 yuriyvnv/parakeet-tdt-0.6b-EN-Medical
🩺 yuriyvnv/Qwen3-ASR-1.7B-EN-Medical
Both trained on MultiMed (leduckhai/MultiMed) mixed with Common Voice 17 English train and validation. Mixing CV in prevents catastrophic forgetting of general English. Medical-only training without CV cost us 5 absolute WER points on general English.
📊 Normalized WER on MultiMed-en test, same protocol as the paper:
Parakeet 0.6B zero-shot: 19.22
Parakeet 0.6B fine-tuned: 14.31 (25% relative reduction)
Qwen3-ASR 1.7B zero-shot: 16.41 (although here we had catastrophic forgetting on CV test set)
Qwen3-ASR 1.7B fine-tuned: 16.50
@hf-audio @QwenLM thanks for the toolkits. Big thanks to @leduckhai and the MultiMed authors for the dataset.
#asr #speech #medical #healthcareai #parakeet #qwen #qwen3asr #nemo #medicalasr
Hey, back from a long holiday. While I was out the team kept working on this one and the results are pretty interesting. Medical English ASR, evaluated against the published MultiMed paper.
🩺 yuriyvnv/parakeet-tdt-0.6b-EN-Medical
🩺 yuriyvnv/Qwen3-ASR-1.7B-EN-Medical
Both trained on MultiMed (leduckhai/MultiMed) mixed with Common Voice 17 English train and validation. Mixing CV in prevents catastrophic forgetting of general English. Medical-only training without CV cost us 5 absolute WER points on general English.
📊 Normalized WER on MultiMed-en test, same protocol as the paper:
Parakeet 0.6B zero-shot: 19.22
Parakeet 0.6B fine-tuned: 14.31 (25% relative reduction)
Qwen3-ASR 1.7B zero-shot: 16.41 (although here we had catastrophic forgetting on CV test set)
Qwen3-ASR 1.7B fine-tuned: 16.50
@hf-audio @QwenLM thanks for the toolkits. Big thanks to @leduckhai and the MultiMed authors for the dataset.
#asr #speech #medical #healthcareai #parakeet #qwen #qwen3asr #nemo #medicalasr