Assurance program for transcription accuracy in medical terminology
The following solutions are recommended for the specific needs of medical scenarios:
- Thesaurus injection::
- Prepare a glossary of terms in JSON format:
{"ctDNA":"循环肿瘤DNA","EGFR":"表皮生长因子受体"} - Load to model initialization parameters:
medical_config = {"special_terms":"./medical_terms.json","term_boost":5.0}
- Prepare a glossary of terms in JSON format:
- Domain Adaptive Training::
- utilization
LoRAMethods Fine-tuning of the base model and preparation of at least 50 hours of annotated medical audio - Training orders:
python finetune.py --model Kimi-Audio-7B --domain medical
- utilization
Operational Recommendations:
- Recordings require physicians to spell key terms clearly
- Post-processing stage withaspellConducting spell-checking
- Automatic labeling of indeterminate segments[需复核]and generate a confidence report
Emergency Handling: When detectingemergencyThe dual-channel mechanism of real-time transcription + nurse station alert is automatically triggered when keywords are used.
This answer comes from the articleKimi-Audio: Open Source Audio Processing and Dialogue Base ModelingThe
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