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@@ -70,3 +70,20 @@ predicted_ids = model.generate(inputs)
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  transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
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  print(transcription)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
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  print(transcription)
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+ ```
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+
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+ ## Context / Reference
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+
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+ This model was developed as part of the work described in:
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+
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+ **Georgilas, V., Stafylakis, T. (2025). _Automatic Speech Recognition for Greek Medical Dictation_.**
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+ The paper focuses on Greek medical ASR research in general and is **not primarily about the model itself**, but provides context for its development. Users are welcome to use the model freely for research and practical applications.
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+
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+ **BibTeX citation:**
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+ ```bibtex
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+ @misc{georgilas2025greekasr,
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+ title={Automatic Speech Recognition for Greek Medical Dictation},
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+ author={Vardis Georgilas and Themos Stafylakis},
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+ year={2025},
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+ note={Available at: https://www.arxiv.org/abs/2509.23550}
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+ }